{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916528,0.0002722716,0.0006864239,0.0002673547,0.0002882508,0.00003253293,0.00007930378,0.000194957,0.0001064624],"category_scores_gemma":[0.0001769257,0.0002078785,0.0002603088,0.0005733998,0.00006126675,0.0003192689,0.00005273471,0.0001972536,0.00001703731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142085,"about_ca_system_score_gemma":0.0002295127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009525822,"about_ca_topic_score_gemma":0.0001813034,"domain_scores_codex":[0.9981932,0.00009715666,0.0005504848,0.0004424487,0.0003848028,0.0003318964],"domain_scores_gemma":[0.9989649,0.0001433871,0.0001511463,0.0004158765,0.0001785221,0.0001461521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005466739,0.0004293657,0.7807367,0.0007288241,0.0005831567,0.00000317351,0.0009799607,0.00008960195,0.00282151,0.0002135928,0.2123962,0.0004711748],"study_design_scores_gemma":[0.004713109,0.001806385,0.4572341,0.001488358,0.001234778,0.000006292524,0.001739441,0.00331896,0.02535554,0.0000924187,0.5027055,0.0003051262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875668,0.0001391973,0.001442786,0.007832319,0.0003288928,0.002237642,0.00006447667,0.0001709826,0.0002168685],"genre_scores_gemma":[0.976257,0.00002769384,0.02176109,0.0002237048,0.0001248327,0.0001865848,0.000306,0.00002049784,0.001092592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3235026,"threshold_uncertainty_score":0.8477038,"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."}}