{"id":"W4406680157","doi":"10.1002/ehf2.15129","title":"Comparative Performance of Risk Prediction Indices for Mortality or Readmission Following Heart Failure Hospitalization","year":2025,"lang":"en","type":"article","venue":"ESC Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Impact; McMaster University; Population Health Research Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Heart failure; Emergency department; Ejection fraction; Cohort; Emergency medicine; Acute decompensated heart failure; Internal medicine; Framingham Risk Score; Triage; Disease","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":[0.01227403,0.001151375,0.0009211826,0.001713814,0.0003091835,0.001613444,0.0007733337,0.0009835416,0.0007970728],"category_scores_gemma":[0.02366834,0.0002689991,0.001314077,0.0007531138,0.0004534971,0.000991974,0.001044441,0.00110203,0.0003076266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006761402,"about_ca_system_score_gemma":0.0005801462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00263747,"about_ca_topic_score_gemma":0.00229158,"domain_scores_codex":[0.996188,0.00177099,0.0004233889,0.0007593891,0.0006221004,0.000236122],"domain_scores_gemma":[0.9788532,0.01356044,0.003381558,0.001278266,0.001954702,0.0009719452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001549977,0.0001679024,0.9835012,0.00004769412,0.0007301712,0.00002494166,0.0001078921,0.002663492,0.0001464505,0.00007789161,0.0004542907,0.0105282],"study_design_scores_gemma":[0.0001520343,0.002266,0.9351434,0.00008676575,0.0004595563,0.0001704105,0.0003027871,0.05975553,0.0008006598,0.0004172057,0.000392392,0.00005331243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966204,0.0006694563,0.001110948,0.0001697343,0.00005019309,0.00002372634,0.0006294969,0.00005418261,0.0006719368],"genre_scores_gemma":[0.9981871,0.0001157795,0.0006265715,0.00002813451,0.00003229205,0.00001596613,0.0008848681,0.000007767007,0.000101511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01227403,"threshold_uncertainty_score":0.06491202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211331895305656,"score_gpt":0.3208432800141922,"score_spread":0.2997100904836266,"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."}}