{"id":"W4402008374","doi":"10.1161/circheartfailure.124.011792","title":"Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF","year":2024,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre","funders":"","keywords":"Heart failure with preserved ejection fraction; Medicine; Heart failure; Internal medicine; Cardiology; Ejection fraction; Vitality; Proteomics; Stroke volume; Genetics","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":[0.0004888887,0.0004497967,0.0004286851,0.0009765686,0.0002963685,0.0005258304,0.0001954766,0.0003948505,0.000669479],"category_scores_gemma":[0.0008086602,0.0001244033,0.0004044811,0.0007789747,0.0001882347,0.0002784087,0.0005111007,0.0003783074,0.0001475922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256656,"about_ca_system_score_gemma":0.000177256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307393,"about_ca_topic_score_gemma":0.001754732,"domain_scores_codex":[0.9998647,0.00002478069,0.00001372625,0.00004616944,0.00002097721,0.00002969381],"domain_scores_gemma":[0.9995694,0.0000567954,0.0002097565,0.00003106655,0.00005353886,0.00007953126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006020191,0.00005629678,0.9840439,0.00003963134,0.0001880906,0.0001358124,0.00007179178,0.0002744344,0.008291491,0.00002905096,0.0001884777,0.00607903],"study_design_scores_gemma":[0.00001010448,0.00008592145,0.9981381,0.000006500072,0.00004871578,0.0001852922,0.0000629022,0.0007316527,0.0004825918,0.00007520119,0.0001693333,0.000003652272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988132,0.000460224,0.0002325528,0.00004821835,0.000003809185,0.000006448799,0.0003002877,0.000004118475,0.0001312504],"genre_scores_gemma":[0.9986408,0.0001776996,0.0005036311,0.00003887166,0.00001172074,0.000007465473,0.0005070418,0.000002402393,0.0001104145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001307393,"threshold_uncertainty_score":0.002599537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756134972635915,"score_gpt":0.2954903863162557,"score_spread":0.2679290365898965,"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."}}