{
  "scores": [
    {
      "outcome": "DONT_FUND",
      "score": 62500
    },
    {
      "outcome": "FUND",
      "score": 937500
    }
  ],
  "justification": "Based on the aggregated decision vector [62500, 937500], which maps to 6.25% for \"DONT_FUND\" and 93.75% for \"FUND,\" the decision heavily favors funding. This decision is supported by the justifications from both scoring models, gpt-5.6-terra and claude-sonnet-5, which provide detailed assessments across mandatory requirements and quality metrics.\n\n### Phase 1 - Mandatory Requirements:\n\nBoth models confirm that the code meets all mandatory security and safety standards. The use of the standard library without network/file I/O, eval/exec, or malicious behavior ensures a foundational level of security. There’s no indication of plagiarism, which reinforces the originality and integrity of the code.\n\n### Phase 2 - Quality Assessment:\n\n1. **Functionality & Correctness:**\n   - Both models score this highly, with gpt-5.6-terra awarding 94/100 and claude-sonnet-5 giving 95/100. This reflects the accurate implementation of validation rules and careful handling of edge cases, which align with the specification and show a robust design.\n\n2. **Code Quality & Style:**\n   - Evaluations are slightly different, with ratings of 96/100 from gpt-5.6-terra and 92/100 from claude-sonnet-5. Key elements include clean structure, strong typing, separation of concerns, and careful control flow, all contributing to code that is both maintainable and understandable.\n\n3. **Documentation & Comments:**\n   - Both models agree on excellent documentation, providing scores of 95/100. Comprehensive docstrings, explanatory notes, and design rationales enhance the readability and usability of the code.\n\n4. **Testing & Coverage:**\n   - Evaluation is robust, with similar high scores of 98/100 from gpt-5.6-terra and 97/100 from claude-sonnet-5. Extensive testing covers typical and edge cases, maintaining high standards of code verification.\n\n5. **Performance & Efficiency:**\n   - The efficiency is confirmed by both models, with ratings from gpt-5.6-terra and claude-sonnet-5 of 98/100 and 95/100, respectively. Effective use of algorithms, such as dictionary-based duplicate detection and `math.fsum`, optimizes performance.\n\n### Justifications for Fund Decision:\n- **High Weighted Average Scores:** The weighted average scores (96.0/100 from gpt-5.6-terra and 94.7/100 from claude-sonnet-5) indicate a consistently strong performance across all evaluated categories.\n- **Thorough Implementation:** Beyond merely meeting requirements, the implementation demonstrates exceptional thoroughness and careful attention to edge cases and design decisions.\n- **Comprehensive Testing and Coverage:** Extensive test coverage and thoughtful test case design ensure reliability and robustness, significantly exceeding basic expectations.\n- **Efficiency and Complexity Management:** Effective management of time complexity and performance optimizations demonstrate a high level of technical competence.\n\n### Conclusion:\nThe overwhelming support for the \"FUND\" decision, as evidenced by high scores from both models across all assessment categories, justifies the conclusion. The submission not only meets the baseline requirements but substantially exceeds them, showcasing excellence in functionality, design, documentation, and testing. Therefore, funding is strongly recommended.",
  "timestamp": "2026-10-21T01:54:53.189Z",
  "arbiter": {
    "adapter": "1.0.0",
    "aiNode": "0.1.0",
    "verdiktaCommon": "1.8.0",
    "release": "509b5c4 2026-10-19T20:05:25Z"
  },
  "metadata": {
    "models_requested": 2,
    "models_successful": 2,
    "models_failed": 0,
    "success_threshold_met": true,
    "total_duration_ms": 16628
  },
  "model_results": [
    {
      "provider": "openai",
      "model": "gpt-5.6-terra",
      "status": "success",
      "duration_ms": 9115
    },
    {
      "provider": "anthropic",
      "model": "claude-sonnet-5",
      "status": "success",
      "duration_ms": 10728
    }
  ]
}