llm.judgment

ev_c48478b0331cd9ed9c0a004cb61f2c4d266f25fb168367cffdbeb1719bb4487c

kindllm.judgment

epoch3

recorded_at_ms1784425314227

previous_event_sha256fcb37fd0042491143375884fbdce1d81e357f9f434f8d60ba77f72ee6bc0bb6c

schema_version2

payload

{
  "attempt_id": "att_c0f3c6eab512db54bc27435f09c6aa001b4783824bc2d82a2d20d98a2f80392c",
  "comparison_id": "cmp_5628bc317a8b6de2da4f4db15d5749faa4bcb572010e795b3e21ad1fc0eb3a70",
  "explanation": "Side A changes the ranking color logic from list-position-based to score-based min\u2013max normalization within each group, introducing a dedicated `score_gradient_t` helper, updating rendering to use score ranges, and adding focused tests for normalization behavior and edge cases like tied scores. Side B fixes a practical import issue by skipping stickied/pinned Reddit posts with a helper and regression test, but its impact is narrower than A's broader improvement to core ranking visualization behavior.",
  "judgment_id": "jud_be62b7f426e49787a1d1c11ce3f4bd95cab7f137c2f34b20e40b5491bcf5ca33",
  "model_id": "openai/gpt-chat-latest",
  "ratio": "3:2",
  "summary": "openai/gpt-chat-latest: A (3:2)",
  "winner": "A"
}

ev_c48478b0331cd9ed9c0a004cb61f2c4d266f25fb168367cffdbeb1719bb4487c

links

payload