{"id":"W2408982248","doi":"10.3810/pgm.09.2004.suppl34.206","title":"Reducing cardiovascular risk: trends in risk, risk assessment, and cholesterol management.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Risk assessment; Risk factor; Environmental health; Metabolic syndrome; Obesity; Disease; Diabetes mellitus; Population; Coronary heart disease; Internal medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005500996,0.0006489494,0.0006859158,0.00257381,0.0007378015,0.002815751,0.0007447653,0.002088426,0.005539676],"category_scores_gemma":[0.01017859,0.0002869462,0.000373469,0.002855283,0.001180138,0.002603547,0.001289999,0.003489445,0.004192231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002779465,"about_ca_system_score_gemma":0.009146378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450815,"about_ca_topic_score_gemma":0.02310933,"domain_scores_codex":[0.9965185,0.001001291,0.0003686754,0.0001810227,0.0017868,0.0001437504],"domain_scores_gemma":[0.9943672,0.0008035031,0.0008702199,0.0001570248,0.002650209,0.001151758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006905911,0.0002367963,0.02704132,0.002050525,0.0000742812,0.0000672819,0.0005605865,0.0001738903,0.0003633602,0.01018652,0.2891068,0.6700695],"study_design_scores_gemma":[0.00008399239,0.0004792538,0.1586429,0.00634424,0.0001874507,0.001333654,0.002166479,0.001084494,0.00055855,0.0176981,0.8113401,0.00008079318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006559021,0.4764292,0.004245427,0.4735655,0.006958086,0.0001199784,0.001049972,0.0004395324,0.03063336],"genre_scores_gemma":[0.1185646,0.7268181,0.03830512,0.07277668,0.01750745,0.0004263127,0.002526555,0.0001702069,0.02290499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01450815,"threshold_uncertainty_score":0.02909243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697568038201305,"score_gpt":0.3931649027773989,"score_spread":0.3361892223953858,"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."}}