{"id":"W2013856227","doi":"10.1016/j.jclinepi.2009.12.004","title":"Logistic regression had superior performance compared with regression trees for predicting in-hospital mortality in patients hospitalized with heart failure","year":2010,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Public Health Ontario; University Health Network; University of Toronto; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Logistic regression; Acute decompensated heart failure; Medicine; Regression analysis; Statistics; Regression; Linear regression; Heart failure; Stepwise regression; Internal medicine; Mathematics","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":[0.01196382,0.001224595,0.001943366,0.0008447414,0.0003935724,0.001226562,0.0005350332,0.001131412,0.001333939],"category_scores_gemma":[0.04081865,0.0003285279,0.001186949,0.0009203855,0.0002189716,0.001993177,0.0005484764,0.001566818,0.0005247782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376429,"about_ca_system_score_gemma":0.001068966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004010866,"about_ca_topic_score_gemma":0.004509615,"domain_scores_codex":[0.9970399,0.001952622,0.0003535834,0.0002412681,0.0002535342,0.000159154],"domain_scores_gemma":[0.9522479,0.04217555,0.001524067,0.0008759083,0.002409943,0.000766606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01126754,0.0006133035,0.7948502,0.0004363595,0.001271816,0.0003266493,0.0004133378,0.0231369,0.001464646,0.0002904841,0.003310966,0.1626179],"study_design_scores_gemma":[0.001069882,0.007140696,0.519825,0.0005223918,0.003148702,0.0007374476,0.0007999296,0.4571608,0.003107658,0.002907225,0.003354319,0.0002259081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974571,0.004153601,0.014837,0.002079133,0.0003442113,0.0001366058,0.001458004,0.0003196141,0.002100828],"genre_scores_gemma":[0.9896439,0.001323232,0.006815624,0.0003225403,0.0002511692,0.00005452535,0.0009457572,0.00004420181,0.0005990555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196382,"threshold_uncertainty_score":0.06327146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939911830249324,"score_gpt":0.4739661895384664,"score_spread":0.2799750065135339,"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."}}