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| "hybrid_rank_score": 20.2, | |
| "layer": 44, | |
| "selection_rank": 16, | |
| "weighted_rank": 7, | |
| "weighted_rank_percentile": 0.020905923344947737, | |
| "weighted_route_mass": 111.72792658209801 | |
| } | |
| ], | |
| "weighted_route_mass_coverage": 0.18290567352306547 | |
| }, | |
| "source_layer": 44 | |
| } | |
| ], | |
| "method": { | |
| "experts_per_layer": 16, | |
| "frequency_rank_weight": 0.4, | |
| "integer_score_denominator_for_default_weights": 5, | |
| "integer_score_for_default_weights": "2 * frequency_rank + 3 * weighted_rank", | |
| "note": "Expert IDs are layer-qualified and must not be merged across layers.", | |
| "runtime_top_k": 4, | |
| "score": "weighted sum of per-layer ranks; lower is better", | |
| "source_frequency_rank_order": [ | |
| "assignment_count descending", | |
| "weighted_route_mass descending", | |
| "expert_id ascending" | |
| ], | |
| "source_weighted_rank_order": [ | |
| "weighted_route_mass descending", | |
| "assignment_count descending", | |
| "expert_id ascending" | |
| ], | |
| "tie_break": [ | |
| "weighted_rank", | |
| "frequency_rank", | |
| "expert_id" | |
| ], | |
| "weighted_route_mass_rank_weight": 0.6 | |
| }, | |
| "schema": "glm-fixed16-expert-selection", | |
| "schema_version": 1, | |
| "source": { | |
| "ranking_csv": "<workspace>\\artifacts\\glm-code-expert-ranking\\all_experts.csv", | |
| "ranking_csv_sha256": "64c93db473e3af531a0a443573253ec991a09bdb46999f1ba8c7315929cac0ec", | |
| "ranking_csv_size": 1650209 | |
| }, | |
| "summary": { | |
| "canonical_projection_sha256": "c8d3184b3a47f21f6444623c3d04de270327c3157f73977d1aa195d629bbaffa", | |
| "selected_expert_count": 672, | |
| "source_layer_count": 42 | |
| } | |
| } | |