{"id":"W4379522699","doi":"10.21428/594757db.4cba5d57","title":"Heuristic Restart Methods for Optimal Surgery Scheduling","year":2023,"lang":"en","type":"article","venue":"","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Heuristic; Scheduling (production processes); Computer science; Mathematical optimization; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165659,0.00162642,0.0023968,0.001304258,0.0008131302,0.001596052,0.00261606,0.001559183,0.006783266],"category_scores_gemma":[0.005891845,0.001022633,0.001491955,0.001238639,0.001100337,0.001707421,0.001359403,0.001738072,0.0009529228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172509,"about_ca_system_score_gemma":0.001907589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317652,"about_ca_topic_score_gemma":0.008889364,"domain_scores_codex":[0.9989925,0.0005179282,0.00004339977,0.00009580699,0.0001779229,0.0001724602],"domain_scores_gemma":[0.9962718,0.002875556,0.0002238108,0.000186683,0.0003039009,0.0001382941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002796337,0.00009448062,0.0001977904,0.00008870962,0.00005644171,0.00004439736,0.0000410778,0.9515502,0.0006121527,0.004937354,0.002244129,0.03985356],"study_design_scores_gemma":[0.00002183459,0.00002420479,0.00004609103,0.000006639225,0.00001037676,0.000004244507,0.000005870198,0.9975138,0.0001170834,0.002034229,0.0002113326,0.000004255995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01988709,0.001456856,0.9701726,0.0003911604,0.000228483,0.0001722445,0.0002360485,0.0007986196,0.006656982],"genre_scores_gemma":[0.6049219,0.001215997,0.378324,0.0005966015,0.0004059655,0.0006464318,0.0007421732,0.0008146344,0.0123323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01317652,"threshold_uncertainty_score":0.0261997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2669078268923381,"score_gpt":0.5741903736744057,"score_spread":0.3072825467820676,"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."}}