{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133335,0.0009837914,0.001927486,0.002328201,0.0003252693,0.001203013,0.000933626,0.00134572,0.002271724],"category_scores_gemma":[0.002525964,0.0002583212,0.0006089177,0.002036267,0.000735778,0.00104688,0.0007796565,0.002309562,0.001208351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009627105,"about_ca_system_score_gemma":0.002562653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292061,"about_ca_topic_score_gemma":0.003320191,"domain_scores_codex":[0.9994979,0.0001217996,0.0001062316,0.00006986721,0.0001695666,0.00003457985],"domain_scores_gemma":[0.9991222,0.0003935778,0.0001260727,0.00002926561,0.0002570762,0.00007178105],"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":[0.0000658837,0.00007586806,0.0006200218,0.01750734,0.0001438683,0.0001322723,0.00006320921,0.0002829825,0.0004134573,0.002847779,0.03186928,0.945978],"study_design_scores_gemma":[0.00004394283,0.0001371085,0.004740192,0.02242651,0.0004428331,0.002254142,0.0001982101,0.0002346474,0.000342317,0.006041229,0.9630832,0.00005563605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006671738,0.9987569,0.0000843406,0.0006115749,0.0001940975,0.000004235587,0.00001289693,0.000004920616,0.0002643391],"genre_scores_gemma":[0.000477382,0.998798,0.0001440983,0.0001676711,0.0002500623,0.000005734954,0.00002330069,8.401028e-7,0.0001329037],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00292061,"threshold_uncertainty_score":0.007599652,"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."}}