{"id":"W2799968900","doi":"10.1016/j.jcrc.2018.05.002","title":"What the business school can teach the medical school about precision, and vice versa","year":2018,"lang":"en","type":"article","venue":"Journal of Critical Care","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Medicine; Glasgow Coma Scale; Decile; Emergency medicine; Area under the curve; Sepsis; Retrospective cohort study; APACHE II; Internal medicine; Intensive care unit; Surgery; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01682611,0.0006600882,0.0008393388,0.002207769,0.00727708,0.01449096,0.001290246,0.01224079,0.03182942],"category_scores_gemma":[0.05974547,0.0004768073,0.001056692,0.001325121,0.01309907,0.01955988,0.004705756,0.0148842,0.004824023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00815925,"about_ca_system_score_gemma":0.03209011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02287573,"about_ca_topic_score_gemma":0.03749478,"domain_scores_codex":[0.9910603,0.003876795,0.0002736488,0.0005970469,0.002500285,0.001691912],"domain_scores_gemma":[0.9414783,0.02137405,0.003291336,0.003063626,0.01052368,0.02026909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001868946,0.001010259,0.0108234,0.001325006,0.0001649004,0.0004553389,0.005847951,0.000423093,0.0004014564,0.1715425,0.6120409,0.1957783],"study_design_scores_gemma":[0.0001982561,0.0002932734,0.01168676,0.006059297,0.000184658,0.000494606,0.01716579,0.0003342796,0.0008945531,0.1851169,0.7774107,0.0001608973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002398665,0.01014999,0.0007331859,0.9552791,0.008499414,0.00001272754,0.00002965136,0.00004767068,0.02284947],"genre_scores_gemma":[0.252972,0.03015881,0.004031479,0.6363722,0.0348603,0.00009483418,0.00008199312,0.0001893572,0.04123902],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03182942,"threshold_uncertainty_score":0.10648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3307944587701068,"score_gpt":0.5653203244856262,"score_spread":0.2345258657155194,"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."}}