{"id":"W3200405832","doi":"10.1002/clc.23726","title":"Association of coronary microvascular dysfunction and cardiac bridge integrator 1, a cardiomyocyte dysfunction biomarker","year":2021,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Heart, Lung, and Blood Institute; Adelson Family Foundation; Deutsches Krebsforschungszentrum; National Institute on Aging; Society for Women’s Health Research; Cedars-Sinai Medical Center","keywords":"Medicine; Cardiology; Internal medicine; Ejection fraction; Heart failure; Coronary artery disease; Endothelial dysfunction; Biomarker; Pathophysiology; Heart failure with preserved ejection fraction; Vasodilation; Stroke volume","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001721784,0.0001872807,0.001277236,0.00008472516,0.00005974708,0.00001322015,0.00003533934,0.0004576547,0.00001903565],"category_scores_gemma":[0.005746825,0.0001784039,0.001023246,0.0002369656,0.0001988065,0.00004927943,0.00009932773,0.0004694755,0.00002941701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524427,"about_ca_system_score_gemma":0.0002476868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003629656,"about_ca_topic_score_gemma":0.000002135759,"domain_scores_codex":[0.997421,0.0008929149,0.0006570228,0.0005133129,0.0002451439,0.0002706406],"domain_scores_gemma":[0.9970431,0.001453407,0.0001950462,0.0004199197,0.0007138596,0.00017468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002515955,0.00005283203,0.9552893,0.00006749647,0.001982849,0.0001470943,0.00001583041,0.000005852593,0.003477659,0.00003214104,0.02237134,0.01630603],"study_design_scores_gemma":[0.002194523,0.0002753944,0.9292904,0.00004599381,0.001898736,0.0003249715,0.00008113681,0.00003056686,0.0004378543,0.00005291547,0.06522078,0.000146696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813781,0.008632299,0.002387662,0.0009557932,0.004027977,0.0002766262,0.00005513833,0.00008757826,0.002198867],"genre_scores_gemma":[0.9945197,0.002775167,0.0002632846,0.0003878857,0.0009324412,0.00002089373,0.000297825,0.00002806374,0.0007747021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04284944,"threshold_uncertainty_score":0.7275102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238215782529191,"score_gpt":0.3213916852968009,"score_spread":0.289009527471509,"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."}}