{"id":"W4306251303","doi":"10.1093/eurheartj/ehac544.1037","title":"A novel algorithm for rapid sequence optimization of guideline directed medical therapy for heart failure with reduced ejection fraction","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Guelph; Cambridge Cardiac Care Centre; University of Ottawa","funders":"","keywords":"Medicine; Ejection fraction; Guideline; Heart failure; Internal medicine; Angiotensin Receptor Blockers; Cardiology; Algorithm; Angiotensin-converting enzyme; Blood pressure; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001628078,0.00113747,0.001070583,0.0009720831,0.0005693837,0.001182796,0.001455021,0.0009996302,0.005754182],"category_scores_gemma":[0.005210196,0.0005015288,0.0006823312,0.0005319415,0.0003517817,0.0007394077,0.001201512,0.0009519758,0.0009787929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009700154,"about_ca_system_score_gemma":0.002972913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005764765,"about_ca_topic_score_gemma":0.00568002,"domain_scores_codex":[0.9988325,0.000400717,0.0001233056,0.0003033388,0.0002212543,0.000118838],"domain_scores_gemma":[0.9979483,0.001082942,0.0002483266,0.00009728841,0.0004711072,0.0001520102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001570381,0.0008419785,0.01188531,0.0002188847,0.0002277757,0.0003487282,0.0002049154,0.3335028,0.006434567,0.004555332,0.008635656,0.6315738],"study_design_scores_gemma":[0.0003004734,0.0003144196,0.0007684215,0.0000146934,0.00003863783,0.000168324,0.00003309287,0.9927405,0.001414695,0.002170965,0.002019996,0.00001586911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05906864,0.0003427562,0.9318756,0.0007187809,0.0001555077,0.001055129,0.0002434057,0.00302456,0.003515617],"genre_scores_gemma":[0.2681282,0.0001384474,0.7279218,0.0002997732,0.00008058404,0.0007933345,0.0004582177,0.0001332997,0.002046271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005764765,"threshold_uncertainty_score":0.01924962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519367678930549,"score_gpt":0.3224534439012959,"score_spread":0.2772597671119905,"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."}}