```json { "table_name": "neal_readings", "primary_key": "id", "candidates": [ { "rank": 0, "partition_key": "id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "RPUV = 1.00 (perfectly unique), uniqueness = 1.000, monotonic sequence. This is the primary identifier for dimension tables. Each row represents a distinct reading record.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require internal sorting. The id column already provides natural ordering.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table storing statistical readings/metrics. The id column is the unique identifier per the classification. While observed_at exists as a time_axis, dimension tables don't use clustering keys. The table stores aggregated metrics (group_count, total, top1_share, top3_share) for various group_axes and measures from source tables like titanic." } ] } ```