{"id":"W4380795730","doi":"10.1161/circ.146.suppl_1.14864","title":"Abstract 14864: Impact of Lifestyle and Cardiometabolic Risk Factors on Atherosclerotic Cardiovascular Diseases Incidence Across Body Weight Categories: A Prospective Study of 321,259 UK Biobank Participants","year":2022,"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":"Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Hazard ratio; Biobank; Body mass index; Internal medicine; Atherosclerosis Risk in Communities; Myocardial infarction; Proportional hazards model; Atherosclerotic cardiovascular disease; Incidence (geometry); Prospective cohort study; Confidence interval; Disease; Bioinformatics","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":[0.001819938,0.0004473448,0.0007340586,0.001047074,0.0006789268,0.001079145,0.0006998398,0.0008319122,0.002468512],"category_scores_gemma":[0.004584371,0.0006758757,0.0004719707,0.002196268,0.0005821805,0.0008122153,0.00144104,0.000598931,0.001079132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005756705,"about_ca_system_score_gemma":0.0003771873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337531,"about_ca_topic_score_gemma":0.009804747,"domain_scores_codex":[0.9982002,0.0005998048,0.0002882834,0.0004302146,0.0003287976,0.0001526376],"domain_scores_gemma":[0.9965873,0.0005275433,0.00165502,0.0004731775,0.0003772299,0.0003797714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004111876,0.00007718003,0.9968998,0.00003845792,0.00007401423,0.0001012583,0.0004700691,0.00002205878,0.0004677573,0.00001512176,0.0003980518,0.001025166],"study_design_scores_gemma":[0.00003054747,0.00009975055,0.99913,0.00001122325,0.00002810571,0.000157776,0.0001570845,0.00003861349,0.00004459406,0.000007552108,0.0002906057,0.000004184016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959286,0.0003102949,0.0001450785,0.00006574698,0.00001033809,0.00005293418,0.003137989,0.000004833855,0.0003441331],"genre_scores_gemma":[0.9955864,0.0002159523,0.0002581576,0.0001216416,0.00002352822,0.0001440267,0.002937764,0.000005871318,0.0007066455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01337531,"threshold_uncertainty_score":0.02659494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353721362393551,"score_gpt":0.3124856652940221,"score_spread":0.2889484516700865,"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."}}