{"id":"W4210366767","doi":"10.1016/j.pmedr.2022.101700","title":"Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University Belfast; Novo Nordisk Fonden; Sydäntutkimussäätiö; Queen's University; Economic and Social Research Council; European Commission; Seventh Framework Programme; Hjärt-Lungfonden; Boehringer Ingelheim; Foundation for Cardiovascular Research; Horizon 2020; Medical Research Council; Bayer; AstraZeneca","keywords":"Anthropometry; Prospective cohort study; Risk stratification; Medicine; Cohort; Cohort study; Cholesterol; Internal medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002401055,0.0008009868,0.0007437663,0.0005512509,0.0004728855,0.0006344769,0.0008528722,0.0006398159,0.001217084],"category_scores_gemma":[0.002176558,0.0006531731,0.0007410566,0.001234561,0.0001888479,0.0002978491,0.0009221183,0.0008260009,0.0003736905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543081,"about_ca_system_score_gemma":0.0008315698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009105399,"about_ca_topic_score_gemma":0.009507741,"domain_scores_codex":[0.999122,0.0004880033,0.00004551459,0.0001446913,0.00011576,0.00008408997],"domain_scores_gemma":[0.9990311,0.0001196685,0.0001611357,0.0003804236,0.000140912,0.0001668454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003373586,0.0002558951,0.9855893,0.00009204942,0.0009131397,0.0001813952,0.0001316745,0.0002819368,0.001093185,0.0000979718,0.001275494,0.006714263],"study_design_scores_gemma":[0.0004390294,0.0004344887,0.9960335,0.00001847695,0.0004326348,0.0001939792,0.00005965423,0.001115943,0.0001720227,0.00007341824,0.001012689,0.000014221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917692,0.0005377355,0.001665843,0.0001096013,0.00005543152,0.0003349016,0.004888591,0.00003847434,0.0006002575],"genre_scores_gemma":[0.9841472,0.0004561558,0.004736939,0.0001302287,0.00008640166,0.001035912,0.007383257,0.00003149704,0.00199251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009105399,"threshold_uncertainty_score":0.01810479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073323375633668,"score_gpt":0.2504416378785348,"score_spread":0.2397084041221981,"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."}}