{"id":"W2789652988","doi":"10.1002/bjs.10804","title":"Operating list composition and surgical performance","year":2018,"lang":"en","type":"article","venue":"British journal of surgery","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Medicine; Duration (music); Surgical procedures; Set (abstract data type); Structuring; Surgery; Statistics; Operations management; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003506549,0.0002660065,0.0003341158,0.001212724,0.0001782145,0.0008479159,0.00042116,0.0003594704,0.00560802],"category_scores_gemma":[0.02610286,0.0001642861,0.0005175913,0.001447869,0.0006036222,0.0006846205,0.0006801491,0.0003973292,0.0006288224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008530689,"about_ca_system_score_gemma":0.001079592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796691,"about_ca_topic_score_gemma":0.001743604,"domain_scores_codex":[0.9964223,0.001457969,0.0005920305,0.0003388778,0.001004055,0.0001848629],"domain_scores_gemma":[0.9530973,0.02397515,0.01951422,0.0005766585,0.001700432,0.001136171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002539015,0.0004844175,0.7258227,0.005060966,0.001181198,0.0001235867,0.0004195468,0.004174407,0.001691381,0.0004178442,0.001230556,0.2568544],"study_design_scores_gemma":[0.00005336555,0.001913896,0.9908001,0.0007945471,0.0003152848,0.0003524371,0.0002549308,0.0006314868,0.0008959036,0.0006878243,0.003266481,0.00003373806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263225,0.06341987,0.0032829,0.001518019,0.0001655584,0.000079317,0.0009091475,0.00005248561,0.004250285],"genre_scores_gemma":[0.9826285,0.01278096,0.002821048,0.0001670876,0.0002116044,0.00005517967,0.000740693,0.00001871675,0.0005763628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00560802,"threshold_uncertainty_score":0.01876068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08250715198818956,"score_gpt":0.3865911241351519,"score_spread":0.3040839721469624,"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."}}