{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003585145,0.0001172609,0.0001396021,0.00008902723,0.001756298,0.0000684001,0.00003045718,0.0000593561,0.0005487275],"category_scores_gemma":[0.0001132106,0.00009813598,0.00001791246,0.0003320881,0.00004757578,0.0002075304,0.00005900624,0.0002299718,0.00004484709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006277725,"about_ca_system_score_gemma":0.0001734024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002758122,"about_ca_topic_score_gemma":0.0001655892,"domain_scores_codex":[0.9985446,0.0002654702,0.0003851987,0.0003898264,0.0001747133,0.0002402408],"domain_scores_gemma":[0.9991375,0.00003425868,0.00005007925,0.0002182133,0.0004639881,0.00009602867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001421968,0.00059617,0.009254213,0.0009323818,0.0003239522,0.0002121852,0.01033496,0.3437145,0.0006297827,0.5481302,0.002165781,0.08356372],"study_design_scores_gemma":[0.006431589,0.0006808052,0.004143435,0.00287874,0.0004510316,0.0005150369,0.1635649,0.5496371,0.003031282,0.000557152,0.265957,0.00215195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865814,0.0006174978,0.02791858,0.04763457,0.001146022,0.002291508,0.00001315858,0.0003289897,0.05423564],"genre_scores_gemma":[0.9072998,0.0004235506,0.08283854,0.0006220313,0.0002403414,0.0002431461,0.0001140036,0.00001791021,0.008200694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.547573,"threshold_uncertainty_score":0.9995433,"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."}}