{"id":"W2901244157","doi":"10.1161/circulationaha.118.035432","title":"Lipoprotein Particle Profiles, Standard Lipids, and Peripheral Artery Disease Incidence","year":2018,"lang":"en","type":"article","venue":"Circulation","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Internal medicine; Very low-density lipoprotein; Lipoprotein particle; Lipoprotein; Cholesterol; Hazard ratio; Cardiology; Population; Prospective cohort study; Dyslipidemia; Triglyceride; Endocrinology; Apolipoprotein B; Coronary artery disease; Disease; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228873,0.0001121327,0.000131397,0.00003145121,0.0001185069,0.00005508661,0.00003749648,0.00002812605,0.0004384317],"category_scores_gemma":[0.00006386252,0.0001045993,0.00003684898,0.0001076515,0.000130372,0.0002297903,0.00004206873,0.00005095,0.00006150283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068919,"about_ca_system_score_gemma":0.00007860334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433474,"about_ca_topic_score_gemma":0.00001034898,"domain_scores_codex":[0.999033,0.00003743075,0.0001766966,0.0002833551,0.0002724838,0.0001970465],"domain_scores_gemma":[0.9993053,0.000006766708,0.00004527309,0.0002769857,0.00009799256,0.0002676945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00083798,0.0001262731,0.9308957,0.0002061538,0.00004955578,0.00005863525,0.0005443629,0.00003314222,0.01179532,0.001262847,0.001138235,0.05305183],"study_design_scores_gemma":[0.0008081133,0.0001247605,0.979269,0.00009743574,0.00007048444,0.000008718308,0.00005070701,0.01549598,0.0004954837,0.0006319171,0.002818723,0.0001286526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942614,0.0001981,0.002807096,0.001309622,0.0001014704,0.0006357434,0.000008248443,0.0001131317,0.0005651384],"genre_scores_gemma":[0.9980601,0.000006771619,0.0004191792,0.0007142259,0.0004915653,0.00005387888,0.00002750213,0.00001610178,0.000210649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05292318,"threshold_uncertainty_score":0.480052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544714407495368,"score_gpt":0.2609924013887796,"score_spread":0.2455452573138259,"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."}}