{"id":"W7132962046","doi":"","title":"Contributions to Data-Driven Combinatorial Solvers","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Solver; Generality; Range (aeronautics); Heuristic; Tree (set theory); Monte Carlo tree search","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005665166,0.0005291,0.0005864886,0.0005445972,0.0007826856,0.0007402177,0.002164482,0.0004856021,0.000793457],"category_scores_gemma":[0.001097124,0.0006489169,0.0001604239,0.001992748,0.00008053752,0.0006630985,0.0007589757,0.0006222662,0.003648738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864306,"about_ca_system_score_gemma":0.001436602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007487484,"about_ca_topic_score_gemma":0.001016533,"domain_scores_codex":[0.9960044,0.0002055493,0.0006735796,0.001508063,0.0008819647,0.0007264156],"domain_scores_gemma":[0.9956016,0.00034801,0.0004310267,0.002106266,0.0009585926,0.0005544976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005491736,0.0007064107,0.0005517813,0.0003838351,0.001189843,0.0002201157,0.09609547,0.05566998,0.002805336,0.250166,0.4711626,0.1204995],"study_design_scores_gemma":[0.003496958,0.0004245506,0.00831803,0.0005864188,0.0003982015,0.00001841433,0.01156843,0.8980299,0.0006753373,0.001366309,0.07282943,0.002287968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008272542,0.00008485083,0.8998116,0.01376118,0.06159149,0.003070466,0.001167909,0.00160607,0.01063395],"genre_scores_gemma":[0.8625867,0.0008351466,0.03071792,0.001350274,0.003366378,0.0003367084,0.03024052,0.0003411606,0.07022517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8690936,"threshold_uncertainty_score":0.9995962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808674698533174,"score_gpt":0.3783692259687768,"score_spread":0.340282478983445,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}