{"id":"W3045989635","doi":"10.1161/circheartfailure.119.006414","title":"Obese-Inflammatory Phenotypes in Heart Failure With Preserved Ejection Fraction","year":2020,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Fondation Institut de Cardiologie de Montréal; Université de Montréal; Institut de Cardiologie de Montréal; Mayo Clinic","keywords":"Medicine; Heart failure with preserved ejection fraction; Heart failure; Internal medicine; Natriuretic peptide; Ejection fraction; Inflammation; Cardiology; Fibrosis; Phenotype; Endocrinology; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002031638,0.0002150554,0.000414175,0.000190767,0.0001233628,0.00004717023,0.00004213587,0.0002331854,0.0006824667],"category_scores_gemma":[0.0001346569,0.000188519,0.0002393472,0.0006370803,0.00004522832,0.0003792839,0.00001860019,0.0004770517,0.0002632809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627877,"about_ca_system_score_gemma":0.00013839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120542,"about_ca_topic_score_gemma":0.0002123037,"domain_scores_codex":[0.9983086,0.0001353455,0.0003247828,0.0004637225,0.0005179623,0.000249616],"domain_scores_gemma":[0.9991208,0.00004176121,0.00007477102,0.000337045,0.0001833403,0.0002423387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002349986,0.00005703718,0.9672249,0.0001487278,0.00009841454,0.00001082322,0.0001898269,0.002321974,0.01543293,0.00003381104,0.014094,0.0001525584],"study_design_scores_gemma":[0.001820938,0.0001185979,0.7214751,0.0001034928,0.00008750703,0.00006126458,0.0006452375,0.003588273,0.001459618,0.00001335623,0.2704197,0.0002068893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763168,0.0001561759,0.003013456,0.01867609,0.0001906145,0.0009677437,0.000003741516,0.000348557,0.0003268696],"genre_scores_gemma":[0.9970812,0.000006024086,0.001224937,0.0008949269,0.0005431134,0.00003831064,0.00009427949,0.00004535901,0.00007191663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563258,"threshold_uncertainty_score":0.7687583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625225542080595,"score_gpt":0.2376656727484301,"score_spread":0.2214134173276242,"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."}}