{"id":"W4307023943","doi":"10.1016/j.cjca.2022.08.117","title":"PREDICTING 1-YEAR MORTALITY IN AMBULATORY HEART FAILURE PATIENTS: EMPIRIC MODELS OUTPERFORM PHYSICIAN INTUITIVE ESTIMATES","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial College of Toronto","funders":"","keywords":"Medicine; Heart failure; Ambulatory; Concordance; Logistic regression; Population; Internal medicine; Framingham Risk Score; Clinical endpoint; Ejection fraction; Absolute risk reduction; Statistic; Emergency medicine; Clinical trial; Cardiology; Confidence interval; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0156334,0.001380745,0.00190302,0.0008261828,0.0004786619,0.002867448,0.001132097,0.002095721,0.001539706],"category_scores_gemma":[0.07139792,0.0006202065,0.001036949,0.0005172298,0.0007617808,0.002583567,0.001143876,0.002630315,0.0002751421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000903227,"about_ca_system_score_gemma":0.001700616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006502123,"about_ca_topic_score_gemma":0.007544556,"domain_scores_codex":[0.9946898,0.004057355,0.0002871735,0.0004960114,0.0002983458,0.0001712692],"domain_scores_gemma":[0.8944496,0.09776392,0.00298427,0.002128466,0.001764601,0.0009091985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005238089,0.001833092,0.3136441,0.0003988357,0.001634249,0.0003309054,0.0003733727,0.5985993,0.0004933877,0.00405141,0.003591244,0.069812],"study_design_scores_gemma":[0.0003765246,0.0009731724,0.03230312,0.0001575957,0.0002907449,0.00007991611,0.0001170819,0.9555272,0.0002320413,0.009508089,0.0003842567,0.00005014428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388592,0.003824108,0.04689165,0.005858059,0.000261948,0.0001980552,0.0007936334,0.0002538301,0.003059582],"genre_scores_gemma":[0.9937568,0.0003603621,0.004891055,0.0004391745,0.00008742023,0.00002205394,0.0002106823,0.00001242917,0.0002200536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156334,"threshold_uncertainty_score":0.08267832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105036223054632,"score_gpt":0.2590718859225382,"score_spread":0.2380215236919919,"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."}}