{"id":"W3135029410","doi":"10.1111/poms.13397","title":"Increased Surgical Capacity without Additional Resources: Generalized Operating Room Planning and Scheduling","year":2021,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; Western University; University of Windsor","funders":"","keywords":"Computer science; Status quo; Operations research; Scheduling (production processes); Capacity planning; Operations management; Schedule; Integer programming; Mathematical optimization; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001475027,0.001296056,0.0007850392,0.0005082599,0.0007769158,0.001292217,0.001336276,0.0008049978,0.004194268],"category_scores_gemma":[0.003056089,0.0005408154,0.000976003,0.001205993,0.001323574,0.001236848,0.0008002685,0.001008677,0.0001984682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006069888,"about_ca_system_score_gemma":0.009503938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3145112,"about_ca_topic_score_gemma":0.3883642,"domain_scores_codex":[0.9989869,0.000354756,0.00001970794,0.0001390436,0.000132854,0.0003667037],"domain_scores_gemma":[0.998514,0.0007957579,0.0001705979,0.0001139906,0.0001687714,0.0002368363],"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":[0.00006322161,0.00003557864,0.001470632,0.00006071724,0.00003187719,0.0000854252,0.00006053361,0.9812149,0.0005607798,0.004847009,0.001949926,0.00961935],"study_design_scores_gemma":[0.00005061842,0.00006724519,0.001698765,0.00001731374,0.00002211772,0.00003454497,0.0001954264,0.9885894,0.0003713698,0.006718817,0.002217323,0.00001705218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991433,0.001290688,0.3646566,0.004008365,0.0002535749,0.0005090076,0.002204093,0.0008377247,0.02709661],"genre_scores_gemma":[0.8948061,0.0004989352,0.09965848,0.0002954171,0.00005665769,0.00009917397,0.0008382177,0.0001010186,0.00364593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3145112,"threshold_uncertainty_score":0.6253612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07129319339117036,"score_gpt":0.3712401620472212,"score_spread":0.2999469686560508,"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."}}