{"id":"W3093934994","doi":"10.1136/bmjopen-2019-036130","title":"Cross-classified Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to evaluate hospital performance: the case of hospital differences in patient survival after acute myocardial infarction","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet; Heart and Stroke Foundation of Canada","keywords":"Medicine; Myocardial infarction; Multilevel model; Mortality rate; Emergency medicine; Internal medicine; Statistics","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":[0.0167635,0.0007671787,0.001242948,0.003486143,0.00062817,0.001733413,0.0009786475,0.001005318,0.001215265],"category_scores_gemma":[0.04907208,0.0002946047,0.00290685,0.001867327,0.0007338854,0.0009843098,0.00250619,0.001517943,0.0001628055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007044765,"about_ca_system_score_gemma":0.0007688004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344896,"about_ca_topic_score_gemma":0.003048007,"domain_scores_codex":[0.9827535,0.01275335,0.0008870735,0.001895455,0.001266112,0.0004445641],"domain_scores_gemma":[0.9310767,0.04923478,0.007840234,0.008551147,0.002201589,0.001095616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008054973,0.00009534565,0.9480003,0.000126846,0.007094856,0.0001528732,0.0005069515,0.01089438,0.00109095,0.00132168,0.0006598221,0.02925043],"study_design_scores_gemma":[0.00009326868,0.00116962,0.8469048,0.0001096812,0.001227353,0.0003683199,0.0005231065,0.1397828,0.001135903,0.007554334,0.001033839,0.00009706273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262088,0.001468567,0.06861814,0.0004728946,0.00009477942,0.0001586471,0.001708893,0.0001292654,0.001140124],"genre_scores_gemma":[0.9856684,0.00006308222,0.01333185,0.00006322798,0.00004985895,0.00009575854,0.0005725534,0.00002491756,0.0001303434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167635,"threshold_uncertainty_score":0.08865488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489012099961117,"score_gpt":0.4213464193073306,"score_spread":0.272445209311219,"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."}}