{"id":"W2299665499","doi":"10.1007/s12630-015-0537-2","title":"Predicting outcomes: Is there utility in risk scores?","year":2015,"lang":"en","type":"review","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Toronto General Hospital; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Perioperative; Psychological intervention; Medicine; Risk assessment; Receiver operating characteristic; Intensive care medicine; Framingham Risk Score; MEDLINE; Risk management tools; Risk management; Disease; Surgery; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02509325,0.002560611,0.00919415,0.004479477,0.0006119174,0.006209135,0.004343405,0.003050811,0.003138977],"category_scores_gemma":[0.08859456,0.001168884,0.004488941,0.005763407,0.002319897,0.005121496,0.00190226,0.006242696,0.0006995659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625824,"about_ca_system_score_gemma":0.003183467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005427378,"about_ca_topic_score_gemma":0.007579059,"domain_scores_codex":[0.9860162,0.00582374,0.002281063,0.001693768,0.003894002,0.0002911261],"domain_scores_gemma":[0.8981431,0.08651473,0.005781982,0.001750249,0.007259725,0.0005503537],"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":[0.0008207015,0.0002955219,0.1200671,0.02723183,0.01174693,0.0001188191,0.0003385157,0.001692581,0.0001154761,0.00839711,0.01767357,0.811502],"study_design_scores_gemma":[0.001856515,0.002618188,0.3172739,0.2047615,0.07061602,0.002358245,0.003491323,0.02771664,0.001486305,0.1077174,0.2588125,0.00129149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005437261,0.9848005,0.001546367,0.005570204,0.001053968,0.00002905872,0.0003238238,0.00002261259,0.001216166],"genre_scores_gemma":[0.09388623,0.8882949,0.007661367,0.004506201,0.004139706,0.0001076301,0.0007862005,0.00002687742,0.0005910362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02509325,"threshold_uncertainty_score":0.1327074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03857935808477307,"score_gpt":0.2954086495502218,"score_spread":0.2568292914654488,"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."}}