{
  "snapshot_date": "2026-06-06",
  "score_scale": {
    "min": 0,
    "max": 100
  },
  "model_count": 8,
  "topline": {
    "top_model": "DeepSeek V4 Flash",
    "top_model_score": 53.9,
    "field_median": 45.15,
    "gap_top_to_next": 8.4
  },
  "dimension_weights": {
    "meaningUtility": 0.35,
    "culturalCorrigibility": 0.55,
    "representationalEquity": 0.1
  },
  "aggregate_saturation_direction": {
    "faith_inclusive_count": 691,
    "secular_only_count": 31,
    "tie_count": 0,
    "measured_denominator": 722
  },
  "models": [
    {
      "rank": 1,
      "model_alias": "deepseek_v4_flash",
      "model_name": "DeepSeek V4 Flash",
      "provider": "DeepSeek",
      "core_fri_score": 53.9,
      "gap_to_best": 0,
      "gap_to_median": 8.75,
      "meaning_utility": 94.4,
      "cultural_corrigibility": 21.4,
      "representational_equity": 91.1,
      "faith_context_adaptation_rate": 0.1,
      "faith_context_context_sensitive_count": 10,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 80,
        "secular_only_count": 2,
        "tie_count": 0,
        "saturated_denominator": 82
      },
      "false_certainty_finding_rate": 0,
      "false_certainty_finding_count": 0
    },
    {
      "rank": 2,
      "model_alias": "grok_4_3",
      "model_name": "Grok 4.3",
      "provider": "xAI",
      "core_fri_score": 45.5,
      "gap_to_best": -8.4,
      "gap_to_median": 0.35,
      "meaning_utility": 94.9,
      "cultural_corrigibility": 5.4,
      "representational_equity": 93.2,
      "faith_context_adaptation_rate": 0.03,
      "faith_context_context_sensitive_count": 3,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 87,
        "secular_only_count": 2,
        "tie_count": 0,
        "saturated_denominator": 89
      },
      "false_certainty_finding_rate": 0.125,
      "false_certainty_finding_count": 1
    },
    {
      "rank": 3,
      "model_alias": "gpt_5_5",
      "model_name": "GPT 5.5",
      "provider": "OpenAI",
      "core_fri_score": 45.4,
      "gap_to_best": -8.5,
      "gap_to_median": 0.25,
      "meaning_utility": 94.8,
      "cultural_corrigibility": 5.1,
      "representational_equity": 94.1,
      "faith_context_adaptation_rate": 0.02,
      "faith_context_context_sensitive_count": 2,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 89,
        "secular_only_count": 4,
        "tie_count": 0,
        "saturated_denominator": 93
      },
      "false_certainty_finding_rate": 0.5,
      "false_certainty_finding_count": 4
    },
    {
      "rank": 4,
      "model_alias": "deepseek_v4_pro",
      "model_name": "DeepSeek V4 Pro",
      "provider": "DeepSeek",
      "core_fri_score": 45.3,
      "gap_to_best": -8.6,
      "gap_to_median": 0.15,
      "meaning_utility": 94.8,
      "cultural_corrigibility": 5.3,
      "representational_equity": 91.8,
      "faith_context_adaptation_rate": 0.01,
      "faith_context_context_sensitive_count": 1,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 88,
        "secular_only_count": 4,
        "tie_count": 0,
        "saturated_denominator": 92
      },
      "false_certainty_finding_rate": 0.1429,
      "false_certainty_finding_count": 1
    },
    {
      "rank": 5,
      "model_alias": "gemini_3_5_flash",
      "model_name": "Gemini 3.5 Flash",
      "provider": "Google",
      "core_fri_score": 45,
      "gap_to_best": -8.9,
      "gap_to_median": -0.15,
      "meaning_utility": 93.8,
      "cultural_corrigibility": 5.2,
      "representational_equity": 92.7,
      "faith_context_adaptation_rate": 0,
      "faith_context_context_sensitive_count": 0,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 92,
        "secular_only_count": 6,
        "tie_count": 0,
        "saturated_denominator": 98
      },
      "false_certainty_finding_rate": 0.375,
      "false_certainty_finding_count": 3
    },
    {
      "rank": 6,
      "model_alias": "kimi_k2_6",
      "model_name": "Kimi K2.6",
      "provider": "Kimi",
      "core_fri_score": 43.5,
      "gap_to_best": -10.4,
      "gap_to_median": -1.65,
      "meaning_utility": 91.7,
      "cultural_corrigibility": 3.8,
      "representational_equity": 93.3,
      "faith_context_adaptation_rate": 0,
      "faith_context_context_sensitive_count": 0,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 80,
        "secular_only_count": 7,
        "tie_count": 0,
        "saturated_denominator": 87
      },
      "false_certainty_finding_rate": 0.4286,
      "false_certainty_finding_count": 3
    },
    {
      "rank": 7,
      "model_alias": "claude_sonnet_4_6",
      "model_name": "Claude Sonnet 4.6",
      "provider": "Anthropic",
      "core_fri_score": 43.4,
      "gap_to_best": -10.5,
      "gap_to_median": -1.75,
      "meaning_utility": 96.6,
      "cultural_corrigibility": 0.5,
      "representational_equity": 92.8,
      "faith_context_adaptation_rate": 0,
      "faith_context_context_sensitive_count": 0,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 87,
        "secular_only_count": 3,
        "tie_count": 0,
        "saturated_denominator": 90
      },
      "false_certainty_finding_rate": 0.7143,
      "false_certainty_finding_count": 5
    },
    {
      "rank": 8,
      "model_alias": "claude_opus_4_8",
      "model_name": "Claude Opus 4.8",
      "provider": "Anthropic",
      "core_fri_score": 43,
      "gap_to_best": -10.9,
      "gap_to_median": -2.15,
      "meaning_utility": 96.6,
      "cultural_corrigibility": 0,
      "representational_equity": 91.9,
      "faith_context_adaptation_rate": 0,
      "faith_context_context_sensitive_count": 0,
      "faith_context_row_denominator": 100,
      "saturation_direction": {
        "faith_inclusive_count": 88,
        "secular_only_count": 3,
        "tie_count": 0,
        "saturated_denominator": 91
      },
      "false_certainty_finding_rate": 0.4286,
      "false_certainty_finding_count": 3
    }
  ],
  "facet_notes": {
    "meaningUtility": "Meaning Utility is the per-model measurable-only utility dimension score, 0 to 100. It contributes 0.35 to the Core composite.",
    "culturalCorrigibility": "Cultural Corrigibility is the per-model corrigibility dimension score, 0 to 100. It contributes 0.55 to the Core composite.",
    "faithContextAdaptationRate": "Faith Context adaptation rate is the share of faith-context rows where the model adapted its answer. It is context-sensitive rows over 100 rows."
  }
}