{"id":"W4206821368","doi":"10.1161/circ.137.suppl_1.p168","title":"Abstract P168: The Association of Longitudinal Changes in Metabolic Syndrome With Incident Heart Failure: The Atherosclerosis Risk in Communities (ARIC) Study","year":2018,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Christie (Canada)","funders":"","keywords":"Medicine; Hazard ratio; Internal medicine; Proportional hazards model; Hypertriglyceridemia; Heart failure; Metabolic syndrome; Waist; Cardiology; Atherosclerosis Risk in Communities; Diabetes mellitus; Blood pressure; Risk factor; Confidence interval; Body mass index; Obesity; Cholesterol; Endocrinology; Triglyceride","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":[0.001703409,0.0005378305,0.000611414,0.0005740096,0.0006804931,0.0007924213,0.0007304804,0.001217083,0.00189008],"category_scores_gemma":[0.00263477,0.0004383952,0.0007465279,0.001396295,0.0002452366,0.0005005285,0.0006862503,0.001466435,0.0003880234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935813,"about_ca_system_score_gemma":0.0006194111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365095,"about_ca_topic_score_gemma":0.01408357,"domain_scores_codex":[0.999257,0.0003073962,0.00005447106,0.0001332487,0.0001514371,0.0000964772],"domain_scores_gemma":[0.9980925,0.0002303058,0.0006586373,0.0002239206,0.0002580466,0.000536498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009297136,0.0001356587,0.9964728,0.00002719537,0.0003067227,0.00009809348,0.00004739819,0.00005647585,0.0002219995,0.00001630315,0.0007255759,0.0009619899],"study_design_scores_gemma":[0.0001369274,0.0002166972,0.9985183,0.00001615439,0.0001384206,0.0001658845,0.00008001731,0.0002497068,0.00003965714,0.00003649734,0.0003955401,0.000006247943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946144,0.0004934267,0.0001903507,0.000268698,0.00004563301,0.00004979024,0.003768429,0.00001454205,0.0005547346],"genre_scores_gemma":[0.9952641,0.0001983194,0.0003246551,0.0001129273,0.00009106258,0.0001013207,0.003410728,0.000008448221,0.0004883654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365095,"threshold_uncertainty_score":0.027143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749389428169106,"score_gpt":0.2725528995716727,"score_spread":0.2450590052899817,"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."}}