{"id":"W3144148384","doi":"10.1111/poms.13427","title":"Surgical Scheduling with Constrained Patient Waiting Times","year":2021,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bounding overwatch; Upper and lower bounds; Mathematical optimization; Computer science; Scheduling (production processes); Schedule; Variance (accounting); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004646512,0.001939638,0.002420108,0.001091048,0.0006409773,0.001780231,0.002709574,0.001951603,0.003784051],"category_scores_gemma":[0.01706247,0.001283796,0.001143409,0.001888265,0.001537071,0.002147858,0.00150103,0.001921783,0.0003377242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002890385,"about_ca_system_score_gemma":0.002744709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278194,"about_ca_topic_score_gemma":0.005955607,"domain_scores_codex":[0.9961618,0.001666993,0.0001728744,0.000718209,0.0006626362,0.0006174587],"domain_scores_gemma":[0.9891717,0.007733827,0.001548625,0.0003273923,0.0006030677,0.0006154298],"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":[0.00006451755,0.00002912022,0.0003579574,0.00004111158,0.00002287943,0.00006120447,0.00002680647,0.9886058,0.0002656071,0.007997853,0.0001870754,0.002339926],"study_design_scores_gemma":[0.00002311218,0.00004267338,0.0002089309,0.000005450063,0.00000750631,0.00001952735,0.00001658922,0.9938944,0.0001312286,0.005440801,0.0002003814,0.000009369181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08402545,0.000603706,0.9104118,0.0009264636,0.0001239654,0.0001676039,0.0004296469,0.0001528668,0.003158473],"genre_scores_gemma":[0.8992125,0.0006419952,0.09434205,0.000180395,0.0001993746,0.0003126993,0.0004481383,0.0001027809,0.004560099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01278194,"threshold_uncertainty_score":0.02541512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239498389864615,"score_gpt":0.3462857839237509,"score_spread":0.3138908000251048,"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."}}