```json { "scores": [ { "id": "cnv_e1665147b16f45d5", "score": 72, "tier": "regular", "rationale": "Complete column reference with 39 columns named and typed. Useful orientation but lacks actionable insights or surprising findings." }, { "id": "cnv_323fef58bacd45cd", "score": 75, "tier": "regular", "rationale": "Concrete dimensions: 1,191 rows, 39 columns, 2.3-year span (2012-2014). Solid foundational context with evidence, but expected baseline info." }, { "id": "cnv_b1203468407345e4", "score": 68, "tier": "regular", "rationale": "Clear explanation of grain (one row = one AE per patient) and dataset purpose. Useful but boilerplate orientation material." }, { "id": "cnv_963c77856bdc4748", "score": 70, "tier": "regular", "rationale": "Systematic column classification into identifiers, dimensions, metrics, dates. Well-structured reference but low surprise value." }, { "id": "cnv_56dcb1315a764bd4", "score": 65, "tier": "regular", "rationale": "Describes what a sample row contains (severity, outcome, timing). Helpful orientation but generic; no specific row examples shown." }, { "id": "cnv_0a55d394927b49d2", "score": 45, "tier": "not_useful", "rationale": "Finds zero missing values but provides no actionable insight. Result is correct but low-signal; doesn't guide next steps." }, { "id": "cnv_406c47ae7ad64c7a", "score": 55, "tier": "not_useful", "rationale": "Confirms no exact duplicates (expected for AE data). Correct finding but unsurprising and doesn't change analysis direction." }, { "id": "cnv_7e3ab1de74cc46cd", "score": 72, "tier": "regular", "rationale": "Concrete cardinality counts (225 patients, 242 terms, 326 LLT values). Useful for understanding data complexity but mostly descriptive." }, { "id": "cnv_10e5eccfbdc04921", "score": 78, "tier": "regular", "rationale": "Detailed numeric distributions (AESEQ 1-23, AESTDY -277 to 366 days, AEENDY -277 to 99). Concrete and evidence-backed; enables outlier detection." }, { "id": "cnv_300776249a7a4d0a", "score": 88, "tier": "great", "rationale": "Identifies 7 impossible historical dates (1977), 26 mixed-format dates, 3 fatal events marked non-serious. Concrete, actionable data quality issues with evidence." }, { "id": "cnv_aff155def5594040", "score": 82, "tier": "regular", "rationale": "Specific frequencies: 64.7% mild, 99.7% non-serious, 60.7% unresolved. Concrete and evidence-backed but expected safety profile patterns." }, { "id": "cnv_84142b68527f4cdc", "score": 75, "tier": "regular", "rationale": "Identifies AESTDY-AEENDY correlation (0.66) and severity-seriousness link. Concrete but expected relationships in clinical data." }, { "id": "cnv_b2dca7750d534661", "score": 70, "tier": "regular", "rationale": "Identifies AESTDY as key metric, shows range -277 to 99 days. Explains clinical relevance but lacks surprising patterns." }, { "id": "cnv_5573d91292bd4be4", "score": 85, "tier": "great", "rationale": "Clear temporal narrative: growth to 87 events (Mar 2013), plateau, sharp decline to 3 (Nov 2014). Specific, evidence-backed, actionable for trend investigation." }, { "id": "cnv_a4a0215b29a4401e", "score": 83, "tier": "great", "rationale": "Identifies major spike (Dec 2012→Feb 2013, doubled), peak 87 events (Mar 2013), sustained decline. Concrete temporal anomalies worth investigating." }, { "id": "cnv_80e3bfec844d40f9", "score": 86, "tier": "great", "rationale": "Critical finding: only 3 serious events (0.25%), all in Nervous System. Concrete, specific, and directly actionable for safety monitoring." }, { "id": "cnv_330b7babfc3d4dfd", "score": 79, "tier": "regular", "rationale": "Proposes 4 segmentation strategies (severity+relationship, body system, outcome, temporal). Useful framework but lacks specific segment sizes/insights." }, { "id": "cnv_19ca877911f342d9", "score": 50, "tier": "not_useful", "rationale": "Correctly identifies no geographic data. Useful clarification but low-signal; doesn't guide analysis or reveal dataset properties." }, { "id": "cnv_1759d6c0d0ee44cd", "score": 92, "tier": "great", "rationale": "Counterintuitive: 3 fatal events marked non-serious (AESER='N'). Highly surprising, concrete, evidence-backed, flags critical data quality/logic issue." }, { "id": "cnv_75d4f8b0f874470a", "score": 76, "tier": "regular", "rationale": "Proposes 3 analytical questions (patient burden, treatment causality, temporal patterns). Well-reasoned but generic; doesn't answer them." } ] } ```