{"id":"W4220689859","doi":"10.1287/ited.2021.0266ca","title":"Case Article—Pediatrician Scheduling at British Columbia Women’s Hospital","year":2022,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Active listening; Computer science; Integer programming; Scheduling (production processes); Profit (economics); Nurse scheduling problem; Class (philosophy); Iterative and incremental development; Operations research; Mathematics education; Mathematical optimization; Job shop scheduling; Artificial intelligence; Psychology; Schedule; Mathematics; Software engineering","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":[0.0003147079,0.0007199466,0.0004354593,0.000964322,0.003558055,0.00104193,0.001153823,0.00294434,0.006846663],"category_scores_gemma":[0.002631809,0.0003350248,0.0004429456,0.001710979,0.0007583491,0.0006922804,0.0009340753,0.003198955,0.0006074749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007149007,"about_ca_system_score_gemma":0.006171586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09786395,"about_ca_topic_score_gemma":0.2181971,"domain_scores_codex":[0.9989917,0.0001328957,0.00005592292,0.0001455263,0.0002348764,0.0004390577],"domain_scores_gemma":[0.9987214,0.0002534888,0.0001423028,0.00003296072,0.00008248905,0.0007672766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009736984,0.000311373,0.02002608,0.0001457837,0.00002212324,0.9230952,0.002116462,0.002494236,0.000567172,0.005264575,0.02698752,0.01887225],"study_design_scores_gemma":[0.00007144174,0.0003032363,0.02566936,0.0003981031,0.00002942162,0.8735431,0.008619771,0.004426894,0.001564939,0.003538207,0.08176725,0.00006829095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7647146,0.00498054,0.01063388,0.06565803,0.002846162,0.0005778633,0.00173721,0.0004504118,0.1484013],"genre_scores_gemma":[0.9658862,0.002355775,0.006557088,0.007118514,0.0008761197,0.000125759,0.000388851,0.0001156394,0.01657593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.902136,"threshold_uncertainty_score":0.1945886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268778436408267,"score_gpt":0.2998482704022569,"score_spread":0.2729704267614302,"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."}}