{"id":"W2535092514","doi":"10.1016/j.cjca.2016.09.012","title":"High-Density Lipoproteins: Biology, Epidemiology, and Clinical Management","year":2016,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Mendelian randomization; Medicine; Cholesterylester transfer protein; Niacin; Biomarker; Internal medicine; Cholesterol; Epidemiology; Disease; Arteriosclerosis; Atherosclerotic cardiovascular disease; Endocrinology; Reverse cholesterol transport; Lipoprotein; Bioinformatics; Cardiology; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006810165,0.0006109326,0.009055721,0.0009398223,0.0001336436,0.00001562939,0.0004516078,0.001540588,0.00004217638],"category_scores_gemma":[0.002163405,0.0004011535,0.003564809,0.0001921506,0.001420068,0.00005933555,0.0001057506,0.001457935,0.000110674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003669681,"about_ca_system_score_gemma":0.001913195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006196804,"about_ca_topic_score_gemma":0.001991999,"domain_scores_codex":[0.9932837,0.002588027,0.002324993,0.0006877001,0.0001388681,0.0009766343],"domain_scores_gemma":[0.9949137,0.0007884749,0.001163026,0.0009683829,0.0003097428,0.001856702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002101186,0.000003431916,0.0006663524,0.001813898,0.007378635,0.001005977,0.000002798501,3.104863e-7,1.543182e-8,0.0006853722,0.007690198,0.980732],"study_design_scores_gemma":[0.001227328,0.000668961,0.005706945,0.006923573,0.006197256,0.004447847,0.000008636397,6.685635e-8,1.261207e-7,0.001335317,0.9731299,0.0003540176],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001212626,0.9916273,0.001514378,0.0005383804,0.003110905,0.001061316,0.0001178352,0.00001694758,0.001891639],"genre_scores_gemma":[0.0006624207,0.9895536,0.00150435,0.0003549906,0.007492559,0.00002949694,0.00004996049,0.00007880712,0.0002738536],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.980378,"threshold_uncertainty_score":0.999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07169892080511975,"score_gpt":0.3638006911585971,"score_spread":0.2921017703534773,"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."}}