{"id":"W4224995883","doi":"10.1093/jbcr/irac051","title":"Predicting and Estimating Burn Outcomes: An Institutional Analysis of 4622 Cases","year":2022,"lang":"en","type":"article","venue":"Journal of Burn Care & Research","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Logistic regression; Internal medicine; Receiver operating characteristic; Multivariate analysis; Retrospective cohort study; Multivariate statistics; Emergency medicine; Demography; 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":[0.002783513,0.0005310012,0.0005515547,0.002254287,0.0007344038,0.0009361767,0.000712481,0.0003627026,0.001133339],"category_scores_gemma":[0.01021031,0.0006070955,0.0004871582,0.003013673,0.0004964449,0.0005320685,0.001018023,0.0004288373,0.0004680708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105846,"about_ca_system_score_gemma":0.001109005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008941428,"about_ca_topic_score_gemma":0.008040958,"domain_scores_codex":[0.9978424,0.0005422003,0.0004244754,0.0004030154,0.0005709689,0.000216936],"domain_scores_gemma":[0.9928734,0.002053251,0.002517813,0.001151261,0.0009553127,0.0004488851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005159295,0.00002570452,0.9953068,0.00001624931,0.00002719828,0.0005001242,0.0001199614,0.00007575504,0.0001136357,0.0000123458,0.000160507,0.003590133],"study_design_scores_gemma":[0.00001515846,0.0001357674,0.9933411,0.0000460933,0.00007161319,0.003185258,0.0008549972,0.000945412,0.0004591957,0.00006095966,0.0008662074,0.00001816412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979568,0.000464179,0.0005531618,0.00003577903,0.000004411685,0.00004080144,0.0006108726,0.00001200349,0.0003220144],"genre_scores_gemma":[0.9971725,0.0004335656,0.0007873585,0.00003365846,0.00001586235,0.00004835023,0.001346233,0.0000127739,0.0001496044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008941428,"threshold_uncertainty_score":0.01777881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016689718480826,"score_gpt":0.4361214663407814,"score_spread":0.3344524944926988,"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."}}