{"id":"W1986470054","doi":"10.1093/eurheartj/ehm390","title":"Cholesterol levels in small LDL particles predict the risk of coronary heart disease in the EPIC-Norfolk prospective population study","year":2007,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Wellcome Trust; Sanofi","keywords":"Medicine; Confounding; Internal medicine; Prospective cohort study; Odds ratio; Cholesterol; Cohort; European Prospective Investigation into Cancer and Nutrition; Coronary heart disease; Cohort study; Population; Risk factor; Gastroenterology","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":[0.001138763,0.0005600231,0.0006140914,0.0005212678,0.0003372502,0.0007837442,0.0006237767,0.0007167014,0.001249388],"category_scores_gemma":[0.002495533,0.0004037603,0.0004891031,0.000471739,0.0002951881,0.0002719129,0.0003828609,0.0006582208,0.0003128657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00047112,"about_ca_system_score_gemma":0.0003042365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365877,"about_ca_topic_score_gemma":0.01537186,"domain_scores_codex":[0.9995061,0.0001577997,0.00004846042,0.0001304105,0.00007967556,0.00007751232],"domain_scores_gemma":[0.9987895,0.0002210465,0.0003956555,0.0001580475,0.0001618683,0.0002740191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003906554,0.00005073653,0.9984641,0.00000783549,0.000102636,0.0000566835,0.00001981966,0.0000253514,0.0001744908,0.0000125381,0.0001594677,0.0005356598],"study_design_scores_gemma":[0.0000381604,0.00006223271,0.9993724,0.000007276861,0.00007772393,0.0001241365,0.00003360451,0.0001039459,0.00003747278,0.00001525352,0.0001252299,0.000002608942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997635,0.0006952101,0.0001298861,0.00008894302,0.00003280213,0.00001728189,0.0008501281,0.000004548108,0.000546201],"genre_scores_gemma":[0.998226,0.0002547154,0.0001715105,0.00007220273,0.00002638276,0.0000165933,0.0007560914,0.000003001375,0.000473507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365877,"threshold_uncertainty_score":0.0271585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04048389918540473,"score_gpt":0.2896336288505426,"score_spread":0.2491497296651378,"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."}}