{"id":"W4389977110","doi":"10.1161/circ.148.suppl_1.15446","title":"Abstract 15446: Impact of Patient Demographics on Optimal Beta-Blocker Use After New-Onset Heart Failure: Analysis of the HF-OPT Study (Heart Failure Optimization Study)","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Heart failure; Ejection fraction; Internal medicine; Cardiology; Beta blocker; Supraventricular tachycardia; Angina; Univariate analysis; Canadian Cardiovascular Society; Logistic regression; Tachycardia; Multivariate analysis; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002296134,0.0003558935,0.0006657207,0.0004933568,0.0002784347,0.0008363816,0.0003393458,0.0005341134,0.002026872],"category_scores_gemma":[0.002952063,0.0002319242,0.001418109,0.0009911121,0.0001834519,0.0005743573,0.0005603387,0.0008438758,0.0002599908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158432,"about_ca_system_score_gemma":0.0002586527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152377,"about_ca_topic_score_gemma":0.001795157,"domain_scores_codex":[0.9989479,0.0004979481,0.0001134939,0.000190899,0.0001518169,0.00009793685],"domain_scores_gemma":[0.9971498,0.0008124849,0.001160371,0.0002175021,0.0001860288,0.0004738466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012935,0.00005584984,0.9967932,0.00002464771,0.0004179704,0.00002883182,0.00001766768,0.00005919923,0.0001054446,0.00001073428,0.0002470067,0.0009458855],"study_design_scores_gemma":[0.00007522001,0.0002434615,0.9990355,0.000005505221,0.0001516015,0.00006032385,0.00003524002,0.0002182776,0.00002253838,0.00001319579,0.0001356315,0.000003505678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965888,0.0007286871,0.0001458742,0.00008682269,0.00002327875,0.0000230327,0.001893602,0.000005182701,0.0005046192],"genre_scores_gemma":[0.9973123,0.0001372085,0.0001201229,0.00006077963,0.00005224353,0.00002688656,0.002121956,0.00000492957,0.0001635616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002296134,"threshold_uncertainty_score":0.01214325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295668628134898,"score_gpt":0.2923420183102628,"score_spread":0.2693853320289138,"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."}}