```json { "scores": [ { "id": "cnv_b43403446e314e47", "score": 75, "tier": "regular", "rationale": "Clear dataset overview with concrete numbers (4,500 students, 20 columns) and column groupings. Lacks evidence queries but provides useful orientation." }, { "id": "cnv_df0d6bf2fcf44d51", "score": 78, "tier": "regular", "rationale": "Precise dimensions (4,500 rows, 20 columns, no duplicates) with evidence. Clarifies absence of time dimension. Solid foundational context." }, { "id": "cnv_bc22e279b2494101", "score": 72, "tier": "regular", "rationale": "Comprehensive column listing with types and ranges. Useful reference but lacks evidence queries and somewhat verbose." }, { "id": "cnv_7a88d82cfd73456d", "score": 76, "tier": "regular", "rationale": "Clear classification schema (identifier, dimensions, metrics) with evidence. Resolves ambiguity about Age. Solid structural understanding." }, { "id": "cnv_30bc473b7b9b46d8", "score": 68, "tier": "regular", "rationale": "Representative sample with concrete values shown. Useful for intuition but low analytical substance—mostly confirms what schema already told us." }, { "id": "cnv_397cf64d0a39482d", "score": 82, "tier": "regular", "rationale": "Precise null counts (1.89% GPA, 1.02% stress) with percentages. Actionable—flags two key outcome columns with missing data. Well-evidenced." }, { "id": "cnv_ec5e2ae5a7024b6f", "score": 70, "tier": "regular", "rationale": "Confirms no duplicates with evidence. Useful data-quality assurance but low surprise—expected for a clean survey dataset." }, { "id": "cnv_1cdb0400ab0e4997", "score": 74, "tier": "regular", "rationale": "Complete cardinality breakdown (Gender 4, Platform 7, etc.) with evidence. Useful reference for segmentation planning." }, { "id": "cnv_7ef84ed7a5224a8d", "score": 80, "tier": "regular", "rationale": "Detailed numeric distributions (means, medians, ranges, stddev) with interpretation. Identifies right-skew in usage. Solid analytical foundation." }, { "id": "cnv_2a8a71d5c4834be9", "score": 77, "tier": "regular", "rationale": "Thorough data-quality audit (12 evidence queries) identifying age/academic-level mismatch and boundary pile-ups. Actionable for cleaning." }, { "id": "cnv_11629357bfe04692", "score": 75, "tier": "regular", "rationale": "Frequency tables for all categorical columns with percentages. Shows Undergrad dominance (61.7%), age concentration (18–20 = 57%). Useful segmentation baseline." }, { "id": "cnv_999a298cf1b745f4", "score": 88, "tier": "great", "rationale": "Identifies strongest correlation (Daily_Usage × Mental_Health = -0.85) with ranked pairs. Reveals Weekend_Extra_Hours is inert. Highly actionable for modeling." }, { "id": "cnv_0ac7ed835df94a27", "score": 85, "tier": "great", "rationale": "Designates Mental_Health_Index as central outcome with justification (correlates -0.85 to +0.77 across all measures). Shows extremes. Guides analysis direction." }, { "id": "cnv_4f4aec1e79bb4363", "score": 65, "tier": "not_useful", "rationale": "Correctly states no time dimension exists. Necessary clarification but low signal—repeats what earlier insights already established." }, { "id": "cnv_7f898a796b884c18", "score": 62, "tier": "not_useful", "rationale": "Confirms absence of time spikes/trends. Redundant with prior time-dimension findings. No new insight." }, { "id": "cnv_7d1444c77a954faf", "score": 0, "tier": "not_useful", "rationale": "Placeholder answer with no content. Failed to deliver on question." }, { "id": "cnv_341cb6b819c8466f", "score": 0, "tier": "not_useful", "rationale": "Single-character placeholder ('x'). No substantive answer provided." }, { "id": "cnv_cc7fb21311ee41ce", "score": 92, "tier": "great", "rationale": "Counterintuitive finding: Weekend hours uncorrelated (r ≈ 0) while weekday usage drives all outcomes (r = -0.85 to +0.75). High surprise, well-evidenced, actionable." }, { "id": "cnv_529ae7091ef04ff7", "score": 90, "tier": "great", "rationale": "Three concrete research questions with specific thresholds (8h+ group: MHI 59.2 vs 94.2 at <2h). Identifies 664-student high-risk segment. Drives next investigation." } ] } ```