{"id":"W2940991971","doi":"10.1093/eurheartj/ehz233","title":"Frequency, predictors, and prognosis of ejection fraction improvement in heart failure: an echocardiogram-based registry study","year":2019,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; Libin Cardiovascular Institute of Alberta; University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Ejection fraction; Heart failure; Hazard ratio; Internal medicine; Cardiology; Atrial fibrillation; Confidence interval; Odds ratio; Transthoracic echocardiogram; Proportional hazards model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256002,0.0001748817,0.0003529876,0.0003127407,0.00007668019,0.00006066689,0.00005325136,0.0000407035,0.00009648525],"category_scores_gemma":[0.00002629276,0.0001461864,0.0001096317,0.0002273617,0.00003132418,0.0002420245,0.00002362437,0.0003771458,0.00002719364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286943,"about_ca_system_score_gemma":0.00006252004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007627974,"about_ca_topic_score_gemma":0.00002670343,"domain_scores_codex":[0.998252,0.0003669257,0.000427008,0.0002995539,0.0004089561,0.0002455261],"domain_scores_gemma":[0.9992482,0.0000251188,0.0001376128,0.0003056874,0.00008559738,0.0001977723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001097383,0.001012186,0.9851732,0.00005786613,0.00009848105,0.0000677384,0.0001504212,0.00002241642,0.009319359,0.000002005017,0.002835366,0.001151171],"study_design_scores_gemma":[0.003886144,0.006114884,0.9715754,0.0002001668,0.0001353054,0.0001013694,0.00109869,0.0001255592,0.001045058,0.000005800626,0.01558057,0.0001310019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959514,0.00006897175,0.0001152656,0.001882877,0.0002051397,0.001290054,0.000001966235,0.00004996065,0.0004343724],"genre_scores_gemma":[0.9955896,0.00002117818,0.003815268,0.0001859307,0.0002214668,0.0000128232,0.00001070134,0.00003350691,0.0001095662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0135978,"threshold_uncertainty_score":0.5961307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950825828951657,"score_gpt":0.2779489716474396,"score_spread":0.258440713357923,"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."}}