{"id":"W2625112061","doi":"10.1161/circoutcomes.10.suppl_3.060","title":"Abstract 060: Association of Body Mass Index With Risk Factor Optimization and Guideline Directed Medical Therapy in Veterans With Cardiovascular Disease","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Christie (Canada)","funders":"","keywords":"Medicine; Underweight; Body mass index; Overweight; Obesity paradox; Internal medicine; Risk factor; Diabetes mellitus; Statin; Obesity; Endocrinology","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":[0.001020234,0.0002024261,0.0002604316,0.0005234964,0.0003500209,0.0006659133,0.000382887,0.0005012973,0.001857033],"category_scores_gemma":[0.004138961,0.0001931922,0.0005104031,0.0009557711,0.0002172546,0.0002962733,0.0003938265,0.001008861,0.0001660966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004128825,"about_ca_system_score_gemma":0.0006456588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00682795,"about_ca_topic_score_gemma":0.007573889,"domain_scores_codex":[0.9993537,0.0002078234,0.00009168781,0.0001031202,0.0001170215,0.0001266812],"domain_scores_gemma":[0.9964427,0.0005940672,0.00189757,0.0001586118,0.0002782683,0.0006286261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004946567,0.00002187063,0.9994411,0.000002644962,0.00002297629,0.000009087884,0.00001007208,0.0000168495,0.00001670888,0.000006638029,0.00006547046,0.0003369988],"study_design_scores_gemma":[0.000005004857,0.00006805005,0.9994884,0.00000418126,0.00001500629,0.00005691334,0.00004229388,0.0002256546,0.00001244087,0.00001127463,0.00006932476,0.00000149398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989687,0.0001687829,0.0000481655,0.0001282607,0.00000942467,0.000005527548,0.0003146716,0.000003678318,0.0003526997],"genre_scores_gemma":[0.9994254,0.00003588661,0.00006644173,0.00004755677,0.00001861091,0.000004651193,0.0003054431,0.000001739325,0.00009437477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00682795,"threshold_uncertainty_score":0.01357639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951893515290603,"score_gpt":0.3145850619685807,"score_spread":0.2850661268156746,"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."}}