{ "evaluation_id": "EVAL-20260318-161727", "question_id": "EVAL-20260318-161727", "question_text": "This Go code processes orders concurrently but occasionally produces incorrect totals. Find and fix all concurrency issues.\n\n```go\npackage main\n\nimport (\n \"fmt\"\n \"sync\"\n)\n\ntype OrderProcessor struct {\n totalRevenue float64\n orderCount int\n errors []string\n}\n\nfunc (op *OrderProcessor) ProcessOrder(amount float64, wg *sync.WaitGroup) {\n defer wg.Done()\n\n if amount <= 0 {\n op.errors = append(op.errors, fmt.Sprintf(\"invalid amount: %.2f\", amount))\n return\n }\n\n op.totalRevenue += amount\n op.orderCount++\n}\n\nfunc main() {\n op := &OrderProcessor{}\n var wg sync.WaitGroup\n\n orders := []float64{99.99, 149.50, -10.00, 299.99, 49.99, 0, 199.99}\n\n for _, amount := range orders {\n wg.Add(1)\n go op.ProcessOrder(amount, &wg)\n }\n\n wg.Wait()\n fmt.Printf(\"Total: $%.2f from %d orders\\n\", op.totalRevenue, op.orderCount)\n}\n```", "category": "code", "timestamp": "2026-03-18T16:17:27.221Z", "display_date": "Mar 18, 2026", "winner": { "name": "GPT-5.4", "provider": "openrouter", "score": 9.91 }, "avg_score": 9.52375, "matrix_size": 55, "models_used": [ { "id": "minimax_m25", "name": "MiniMax M2.5", "provider": "openrouter" }, { "id": "minimax_m21", "name": "MiniMax M2.1", "provider": "openrouter" }, { "id": "minimax_m2", "name": "MiniMax M2", "provider": "MiniMax" }, { "id": "minimax_m1", "name": "MiniMax M1", "provider": "openrouter" }, { "id": "minimax_01", "name": "MiniMax-01", "provider": "openrouter" }, { "id": "judge_claude_sonnet", "name": "Claude Sonnet 4.6", "provider": "openrouter" }, { "id": "judge_gpt54", "name": "GPT-5.4", "provider": "openrouter" }, { "id": "minimax_m27", "name": "MiniMax M2.7", "provider": "openrouter" } ], "rankings": { "judge_gpt54": { "display_name": "GPT-5.4", "provider": "openrouter", "average_score": 9.91, "score_count": 7, "min_score": 9.8, "max_score": 10, "rank": 1 }, "judge_claude_sonnet": { "display_name": "Claude Sonnet 4.6", "provider": "openrouter", "average_score": 9.8, "score_count": 7, "min_score": 9.4, "max_score": 10, "rank": 2 }, "minimax_m27": { "display_name": "MiniMax M2.7", "provider": "openrouter", "average_score": 9.71, "score_count": 7, "min_score": 9, "max_score": 10, "rank": 3 }, "minimax_m1": { "display_name": "MiniMax M1", "provider": "openrouter", "average_score": 9.69, "score_count": 7, "min_score": 9, "max_score": 10, "rank": 4 }, "minimax_m2": { "display_name": "MiniMax M2", "provider": "MiniMax", "average_score": 9.45, "score_count": 7, "min_score": 8.4, "max_score": 10, "rank": 5 }, "minimax_01": { "display_name": "MiniMax-01", "provider": "openrouter", "average_score": 9.34, "score_count": 7, "min_score": 8.4, "max_score": 10, "rank": 6 }, "minimax_m25": { "display_name": "MiniMax M2.5", "provider": "openrouter", "average_score": 9.32, "score_count": 7, "min_score": 8.05, "max_score": 10, "rank": 7 }, "minimax_m21": { "display_name": "MiniMax M2.1", "provider": "openrouter", "average_score": 8.97, "score_count": 6, "min_score": 8.4, "max_score": 9.8, "rank": 8 } }, "judgments": [ { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.25, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a complete, working mutex-based solution with clear explanations. Minor deduction for completeness as the response is slightly truncated at the end, though the essential fix is fully presented." }, { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "minimax_m21", "respondent_name": "MiniMax M2.1", "weighted_score": 8.8, "brief_justification": "The response correctly identifies all race conditions in the shared OrderProcessor fields and provides an accurate mutex-based fix with proper use of Lock/Unlock and defer. The explanation is clear and practical, though it could have explored alternative approaches like sync/atomic for the numeric fields or mentioned race detection tools." }, { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 9.6, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a working mutex-based fix with an alternative atomic solution. Code is well-formatted and includes verification via -race flag." }, { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 9.8, "brief_justification": "Excellent response that correctly identifies all three data races (totalRevenue, orderCount, errors), provides a complete working mutex-based fix, an atomic alternative for Go 1.20+, and verification via race detector. Well-structured with clear visual explanation." }, { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 10, "brief_justification": "The response correctly identifies all three race conditions (totalRevenue, orderCount, errors slice), provides a complete working solution using mutexes, explains the changes clearly, discusses alternative approaches like atomic operations, and includes expected test output showing the fix works correctly." }, { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.8, "brief_justification": "The response correctly identifies all three race conditions (totalRevenue, orderCount, errors slice) and provides a well-structured fix using sync.Mutex. It explains design decisions, maintains minimal critical sections, and includes verification via the race detector. Slight deduction for not mentioning sync/atomic as an alternative approach for the numeric fields." }, { "judge_key": "minimax_m27", "judge_name": "MiniMax M2.7", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors slice), provides working mutex-based fixes with explanations of why each operation is racy, includes verification of expected output, and even offers additional tooling (race detector) and alternative approaches. The code is well-structured and thoroughly explained." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 10, "brief_justification": "Excellent response that correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a proper mutex-based fix with clear explanations, verification steps, and an alternative atomic approach." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "minimax_m21", "respondent_name": "MiniMax M2.1", "weighted_score": 9.8, "brief_justification": "The response correctly identifies race conditions on all three shared fields (totalRevenue, orderCount, errors) and provides a proper mutex-based solution. The code is well-structured with correct locking patterns using defer. The explanation is clear and actionable, though it could have mentioned alternative approaches like sync.RWMutex or atomic operations for additional depth." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 10, "brief_justification": "Response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a proper mutex-based fix. Also offers an excellent alternative using atomic types and includes verification with -race flag. Well-structured with clear explanations and actionable code." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 9.8, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a proper mutex-based fix with clear visual explanation. It also offers an atomic alternative and verification steps using the race detector." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 10, "brief_justification": "The response correctly identifies all three race conditions (totalRevenue, orderCount, and errors slice) and provides a working mutex-based solution. It is thorough in explanation, well-structured, discusses alternative approaches, and provides complete working code with expected output." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.6, "brief_justification": "Response correctly identifies all three race conditions and provides a proper mutex-based fix. Thoroughly explains the issues, provides working code, and includes verification steps. Minor deduction for not using 'defer' for unlock and not mentioning atomic package as an alternative, but overall excellent." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "Response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides working mutex-based fixes. Explains why non-atomic operations cause races, provides expected results for verification, and includes practical race detector tip. Only minor gap is not showing channel-based alternative despite offering." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 10, "brief_justification": "Excellent response that correctly identifies all three data races, provides a complete working fix with mutex synchronization, explains verification with go race, and offers alternative atomic-based solutions with performance considerations." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.8, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors slice) and provides a complete, working mutex-based solution. The explanation is clear and thorough, though mentioning atomic package alternatives would have added more depth." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 10, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides working solutions using both Mutex and atomic packages. The explanation is clear, well-organized with tables, includes verification advice with -race flag, and provides actionable, complete code." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 9.8, "brief_justification": "Comprehensive analysis correctly identifies all three data races with clear visual explanation, provides working mutex-based fix plus atomic alternative, and includes race detector verification command." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 9.8, "brief_justification": "The response correctly identifies all three race conditions (totalRevenue, orderCount, and errors slice) and provides a complete, working mutex-based solution. The explanation is clear and well-structured, with additional recommendations for further optimization using atomic operations." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "Excellent response that correctly identifies all three race conditions, provides a complete and properly reasoned fix using mutex protection, explains design decisions clearly, and includes verification instructions. The solution is thorough, well-organized, and actionable." }, { "judge_key": "minimax_m21", "judge_name": "MiniMax M2.1", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "Excellent response that correctly identifies all three data races, provides working code fixes with clear explanations, shows expected results, and even mentions the race detector tool. Thorough and actionable." }, { "judge_key": "minimax_m2", "judge_name": "MiniMax M2", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 10, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors slice) and provides a proper mutex-based fix. It includes complete working code, verification steps with go race, and even discusses atomic alternatives for higher performance." }, { "judge_key": "minimax_m2", "judge_name": "MiniMax M2", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 10, "brief_justification": "Excellent response that correctly identifies all concurrency issues (data races on totalRevenue, orderCount, and errors), provides a complete working solution using mutexes, explains the problem thoroughly, and delivers practical, actionable code." }, { "judge_key": "minimax_m2", "judge_name": "MiniMax M2", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 10, "brief_justification": "Response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a proper mutex-based solution with clear explanations, visual diagrams, alternative approaches, and verification steps. Thorough and actionable." }, { "judge_key": "minimax_m2", "judge_name": "MiniMax M2", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 9, "brief_justification": "The response correctly identifies all race conditions in the original code and provides a proper mutex-based solution. The code is syntactically correct and would fix the concurrency issues. The explanation is clear and thorough, with good additional recommendations for alternatives like atomic operations." }, { "judge_key": "minimax_m2", "judge_name": "MiniMax M2", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "Perfect response identifying all three race conditions with accurate technical explanations, complete working solution, clear structure, insightful design rationale, and practical verification guidance." }, { "judge_key": "minimax_m2", "judge_name": "MiniMax M2", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "Response correctly identifies all three data races (totalRevenue, orderCount, errors slice), provides working mutex-based fixes, explains why the operations are non-atomic, includes expected output, and even offers an optimized locking version and race detector tip." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 9.8, "brief_justification": "Response correctly identifies all three data races and provides a proper mutex-based fix with working code. Covers alternative atomic approach and verification method. Slightly more depth on memory model could enhance it, but thoroughly addresses the problem." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.55, "brief_justification": "Response correctly identifies all three concurrency issues (totalRevenue, orderCount, errors slice) and provides a correct mutex-based fix. Minor issue: the explanation about reading being 'safe after wait' is slightly misleading - synchronization is still needed. Code is complete and functional." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "minimax_m21", "respondent_name": "MiniMax M2.1", "weighted_score": 8.6, "brief_justification": "Correctly identifies and fixes the race conditions on totalRevenue, orderCount, and errors using a Mutex. The solution is functional and well-explained, though it could mention sync/atomic as an alternative and note that reads in main() should technically also be synchronized for full correctness." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 9.6, "brief_justification": "Response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a proper mutex-based fix with an atomic alternative. Well-structured with clear explanations and practical verification advice." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 9.35, "brief_justification": "The response correctly identifies race conditions as the core issue and provides a valid mutex-based solution. It is well-structured and highly actionable, though it could have elaborated more on the underlying concurrency mechanics and slice behavior under concurrent access." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "The response correctly identifies all three race conditions (totalRevenue, orderCount, errors), provides a working mutex-based fix, explains the design decisions clearly, and includes verification steps. Thorough and well-structured." }, { "judge_key": "minimax_m1", "judge_name": "MiniMax M1", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, and errors slice), provides working mutex-based fixes with clear explanations, shows the correct expected output (799.46 from 5 orders), and mentions the race detector. The depth is excellent as it explains WHY each operation is problematic (non-atomic operations, slice header corruption) and provides an optimized version with more granular locking." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 9.6, "brief_justification": "The response accurately identifies and explains all concurrency issues, provides a fully functional fix using mutexes, and suggests an alternative approach with atomic operations for performance. Minor improvements in clarity could include more explicit reasoning for choosing mutexes over channels." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.6, "brief_justification": "The response correctly identifies and explains the concurrency issues and provides a comprehensive solution using mutexes. It could have further discussed potential alternatives or optimizations for better depth." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "minimax_m21", "respondent_name": "MiniMax M2.1", "weighted_score": 9.6, "brief_justification": "The response correctly identifies the concurrency issues and provides a comprehensive solution using mutexes, with clear explanations and code improvements. It could have further discussed potential performance implications or alternative concurrency strategies." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 9, "brief_justification": "The response correctly identifies and addresses the concurrency issues, provides a clear solution with mutexes, and suggests an alternative using atomic operations. However, it could have further discussed potential performance trade-offs or edge cases." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 9.6, "brief_justification": "The response provides a thorough and accurate analysis of the concurrency issues, proposes a correct fix using mutexes, and even suggests an alternative approach with atomic operations. The explanation is clear and detailed, though minor improvements in structure could enhance readability." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.8, "brief_justification": "The response correctly identifies and explains the concurrency issues, provides a comprehensive fix using mutexes, and justifies the design decisions thoroughly. It could have included alternative concurrency approaches for slightly higher depth." }, { "judge_key": "minimax_01", "judge_name": "MiniMax-01", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "The response correctly identifies and explains all concurrency issues, provides a robust solution with mutexes, and includes an optimized version for better performance. It also suggests using Go's race detector and briefly mentions an alternative approach with channels." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 9.6, "brief_justification": "The response correctly identifies all three data races, provides a clean mutex-based fix, includes a verification command, and offers an alternative atomic approach. The table format and clear explanation make it highly actionable and educational." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9, "brief_justification": "The response correctly identifies all three data races (totalRevenue, orderCount, errors) and provides a proper mutex-based fix. It also adds error reporting output that was missing from the original, and correctly notes that the final read after wg.Wait() is technically safe without locking. Minor deduction for not mentioning alternative approaches like atomic operations or channels, and the response appears slightly truncated at the end." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m21", "respondent_name": "MiniMax M2.1", "weighted_score": 8.4, "brief_justification": "The response correctly identifies all race conditions and applies mutex protection to all shared fields. The fix is valid and well-explained, though it could mention alternative approaches like using atomic operations or channels, and could note that the `defer` inside a conditional branch is slightly unusual but functionally correct." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 9.55, "brief_justification": "The response correctly identifies all three data races, provides a clean mutex-based fix, explains why the final read is safe after WaitGroup.Wait(), and offers an excellent alternative using atomic types with proper explanation of when each approach is appropriate. The tip about using -race flag adds practical value." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 9.8, "brief_justification": "The response correctly identifies all three data races, provides a clear visual explanation of the race condition, delivers a working fix with proper mutex usage, and offers an alternative atomic approach with appropriate caveats. The race detector suggestion adds practical verification value." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 8.8, "brief_justification": "The response correctly identifies all race conditions (totalRevenue, orderCount, and errors slice) and provides a proper mutex-based fix. The explanation is thorough, well-structured, and includes additional recommendations like atomic operations and the note about locking before printing (though that last lock is unnecessary since wg.Wait() ensures all goroutines are done). Minor issue: the fmt.Sprintf for zero amount would show '0.00' not matching the test output claim." }, { "judge_key": "judge_claude_sonnet", "judge_name": "Claude Sonnet 4.6", "respondent_key": "judge_gpt54", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "The response correctly identifies all three data races, provides two progressively better fixed versions with clear explanations, includes expected output verification, and mentions the race detector tool. The optimized version that minimizes lock contention by formatting error strings before acquiring the lock shows genuine depth of understanding." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "minimax_m27", "respondent_name": "MiniMax M2.7", "weighted_score": 9, "brief_justification": "The response correctly identifies the actual shared-state races and provides a valid mutex-based fix with clean explanation and runnable code. It is slightly imperfect only because it serializes the entire method more than necessary and mentions atomic.Float64 as an option, which may be version-sensitive and not needed for the core fix." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 8.05, "brief_justification": "The response correctly identifies the key data races on the shared fields and provides a valid mutex-based fix with improved output handling. It is slightly incomplete/truncated at the end and doesn't discuss alternative safe designs or the nuances of reading after Wait, but the proposed solution is practical and mostly accurate." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "minimax_m21", "respondent_name": "MiniMax M2.1", "weighted_score": 8.6, "brief_justification": "The response correctly identifies the data races on shared fields and fixes them with a mutex, which resolves the incorrect totals. It is clear and practical, though slightly incomplete because it does not mention protecting reads of shared state if they could occur concurrently elsewhere or suggest race detection/testing." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "minimax_m2", "respondent_name": "MiniMax M2", "weighted_score": 8.4, "brief_justification": "The response correctly identifies the shared-state data races and provides a valid mutex-based fix, plus a reasonable atomic alternative and race-detector advice. It is clear and practical, though it slightly overstates the issue as exactly 'three data races' and could mention that the final reads are safe specifically because they occur after wg.Wait()." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "minimax_m1", "respondent_name": "MiniMax M1", "weighted_score": 9, "brief_justification": "The response correctly identifies the shared-state data races and provides a valid mutex-based fix, along with a sensible note about atomics and using the race detector. It is clear and practical, though slightly overstated in calling them three distinct races and it does not discuss encapsulating final reads under the same synchronization discipline." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "minimax_01", "respondent_name": "MiniMax-01", "weighted_score": 8.4, "brief_justification": "The response correctly identifies the data races on shared fields and provides a valid mutex-based fix with working code. It is clear and practical, though it slightly overstates the need to lock during printing after wg.Wait() and does not discuss alternative designs such as returning results via channels or avoiding shared mutable state." }, { "judge_key": "judge_gpt54", "judge_name": "GPT-5.4", "respondent_key": "judge_claude_sonnet", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.4, "brief_justification": "The response correctly identifies all actual shared-state races and provides a valid mutex-based fix with clear explanations and practical verification via the race detector. It is highly useful and well-structured, though it could mention alternative fixes such as atomics or channel-based design for completeness." } ], "meta": { "source": "The Multivac (app.themultivac.com)", "methodology": "10x10 blind peer matrix evaluation", "criteria": "correctness, completeness, clarity, depth, usefulness", "self_judgments": "excluded from rankings", "license": "Open data — cite as: The Multivac (2026)" } }