{"id":"W1601417206","doi":"10.1023/a:1019009928005","title":"A mathematical programming approach for scheduling physicians in the emergency room","year":2000,"lang":"en","type":"review","venue":"Health Care Management Science","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Imperial Oil (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Task (project management); Schedule; Operations research; Scheduling (production processes); Workload; Health informatics; Operations management; Medicine; Nursing; Public health; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.01592357,0.0004255623,0.001341249,0.001292683,0.001503806,0.0006970688,0.004133217,0.000110026,0.00003670368],"category_scores_gemma":[0.0008894258,0.0002614065,0.0005978321,0.008262794,0.000240303,0.0002911047,0.000278683,0.0004763246,0.000150506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413421,"about_ca_system_score_gemma":0.000616664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001755005,"about_ca_topic_score_gemma":0.00001218642,"domain_scores_codex":[0.9918376,0.0004665541,0.001876183,0.001599181,0.002833235,0.001387201],"domain_scores_gemma":[0.9966016,0.000659439,0.0007458769,0.001646165,0.0001754538,0.0001714706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001464295,0.0001213486,0.000001623113,0.004258208,0.00001053768,0.000001654262,0.001472557,0.0003189657,1.434822e-9,0.01204109,0.0005311917,0.9812413],"study_design_scores_gemma":[0.0001253345,0.00005971492,0.000006183517,0.002098768,0.0001270695,0.000007475376,0.00692429,0.003778561,1.060171e-8,0.003125422,0.9834281,0.000319035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002456572,0.9014008,0.08475423,0.0003837761,0.0004575697,0.004605072,0.0000238528,0.00007685536,0.008295387],"genre_scores_gemma":[0.0001257946,0.8216407,0.1749432,0.0003362918,0.0002347122,0.002003433,0.00004429939,0.00003907572,0.0006325779],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9828969,"threshold_uncertainty_score":0.9999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2007146065614402,"score_gpt":0.4855884864042948,"score_spread":0.2848738798428546,"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."}}