{"id":"W4230029238","doi":"10.4018/978-1-7998-2451-0.ch018","title":"Surgery Operations Modeling and Scheduling in Healthcare Systems","year":2020,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Scheduling (production processes); Schedule; Computer science; Operations research; Mathematical optimization; Health care; Heuristic; Duration (music); Operations management; Engineering; Mathematics; Artificial intelligence; Operating system","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"],"consensus_categories":[],"category_scores_codex":[0.0007310289,0.0004327407,0.0009167201,0.0001881249,0.0009415435,0.00009162659,0.0001350781,0.001053694,0.000018241],"category_scores_gemma":[0.0002169312,0.0004512224,0.0001011309,0.00006645126,0.00003949292,0.0001084604,0.0001320165,0.001411963,0.0001132078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006773107,"about_ca_system_score_gemma":0.002570031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004762519,"about_ca_topic_score_gemma":0.003987211,"domain_scores_codex":[0.9965248,0.0003110442,0.001548465,0.0007115871,0.0003460576,0.00055803],"domain_scores_gemma":[0.9982902,0.0001992703,0.0002088503,0.000388391,0.0004798984,0.0004334109],"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":[0.00002353972,0.000004592166,0.0006851009,0.0007107383,0.00002348704,0.00002793957,0.0003922583,0.0654741,0.000001452038,0.9320439,0.0001476424,0.0004653239],"study_design_scores_gemma":[0.0005813225,0.00006312002,0.0000370052,0.005053323,0.00005349455,0.00001900131,0.0007667296,0.9711679,2.008573e-7,0.01897071,0.00243796,0.0008492498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01284249,0.01152932,0.03183584,0.01984883,0.005218995,0.007851231,0.001152501,0.0008576687,0.9088631],"genre_scores_gemma":[0.9796867,0.0003323735,0.004603168,0.003363373,0.0009919642,0.0002646051,0.0001505672,0.0001323731,0.01047482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9668443,"threshold_uncertainty_score":0.9997939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051787961013646,"score_gpt":0.3713668800300204,"score_spread":0.2661880839286559,"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."}}