{"id":"W2984620797","doi":"10.1002/clc.23291","title":"Rationale and design of a navigator‐driven remote optimization of guideline‐directed medical therapy in patients with heart failure with reduced ejection fraction","year":2019,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Relypsa; Allergan; GlaxoSmithKline; Esperion Therapeutics; Regeneron Pharmaceuticals; Boston Scientific Corporation; Eisai; Sanofi; AstraZeneca; U.S. National Library of Medicine; Alnylam Pharmaceuticals; Brigham and Women's Hospital; Pfizer","keywords":"Medicine; Ejection fraction; Heart failure; Informed consent; Cardiac resynchronization therapy; Population; Destination therapy; Guideline; Ventricular assist device; Transplantation; Heart transplantation; Pharmacist; Canadian Cardiovascular Society; Emergency medicine; Intensive care medicine; Cardiology; Internal medicine; Family medicine; Pharmacy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005696027,0.00009753156,0.0005509537,0.00008207584,0.00001254559,0.000001736161,0.0000266444,0.0001868506,0.00006861843],"category_scores_gemma":[0.0002305134,0.00006495946,0.0000483063,0.0001580561,0.0001048322,0.0000503998,0.00001351059,0.0001538701,0.000002711258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002862622,"about_ca_system_score_gemma":0.0001333048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002386136,"about_ca_topic_score_gemma":0.000004892983,"domain_scores_codex":[0.9985939,0.0003082337,0.0005141373,0.0002472756,0.000235009,0.000101404],"domain_scores_gemma":[0.9990916,0.0002430741,0.0001500128,0.0001792025,0.0002673815,0.00006878914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003224114,0.0001872998,0.9865507,0.00002380407,0.0002075332,0.0000038139,0.00001910893,0.006421785,0.0001293265,0.000006451561,0.001537802,0.00168822],"study_design_scores_gemma":[0.01776156,0.009641208,0.9483427,0.0002581858,0.0001529404,0.00001806115,0.00008443719,0.02019688,0.0001176352,0.00001704942,0.003261093,0.00014829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770476,0.00002393742,0.01981714,0.001564067,0.0000746362,0.001381327,0.000001995156,0.00002520904,0.00006409489],"genre_scores_gemma":[0.948121,0.0000879689,0.05134779,0.0002030001,0.00006345961,0.00001261632,0.0001278916,0.00001274782,0.00002351537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03820807,"threshold_uncertainty_score":0.264897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730821737636184,"score_gpt":0.3239813064083496,"score_spread":0.2966730890319877,"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."}}