{"id":"W3188393854","doi":"10.1109/icphm51084.2021.9486631","title":"Operating room planning with multiple downstream units","year":2021,"lang":"en","type":"article","venue":"","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Downstream (manufacturing); Time horizon; Computer science; Integer programming; Operating room management; Operating cost; Sensitivity (control systems); Unit (ring theory); Operations research; Linear programming; Mathematical optimization; Simulation; Operations management; Engineering; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002814898,0.0001013623,0.0001486616,0.00004142905,0.001366535,0.00003280798,0.00005215322,0.0001198008,0.0008653387],"category_scores_gemma":[0.0005110229,0.00007543316,0.000011236,0.0004818177,0.000009918452,0.0001545008,0.0000404694,0.0003849258,0.00009670149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006045847,"about_ca_system_score_gemma":0.001176715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003506471,"about_ca_topic_score_gemma":0.0008169786,"domain_scores_codex":[0.9987046,0.00028264,0.0003262004,0.0002279377,0.0001392149,0.0003193822],"domain_scores_gemma":[0.9985036,0.0002685474,0.00005762247,0.0002246481,0.000816812,0.0001287283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002043645,0.00008369224,0.8651904,0.0001634738,0.00004024879,0.00008515168,0.01119556,0.1084293,0.001297562,0.005466449,0.004249463,0.00377825],"study_design_scores_gemma":[0.0070515,0.0004357079,0.1017595,0.002720607,0.00006267534,0.00006961498,0.1379406,0.6735812,0.003599412,0.00006241039,0.07138983,0.001326917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8493801,0.0001267965,0.08353516,0.00346286,0.0003353465,0.0005147411,0.0000163227,0.0002498401,0.0623788],"genre_scores_gemma":[0.8951188,0.00001251309,0.09384914,0.001920951,0.0001736373,0.00006588002,0.0002011516,0.00002254399,0.008635401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.763431,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047266215553289,"score_gpt":0.4138076207915027,"score_spread":0.3090809992361738,"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."}}