{"id":"W2158901329","doi":"10.1161/circoutcomes.110.959247","title":"A Meta-Analysis of Low-Density Lipoprotein Cholesterol, Non-High-Density Lipoprotein Cholesterol, and Apolipoprotein B as Markers of Cardiovascular Risk","year":2011,"lang":"en","type":"review","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":643,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"McGill University Health Centre; McGill University","keywords":"Medicine; Apolipoprotein B; Relative risk; Internal medicine; Meta-analysis; Cholesterol; Percentile; Population; Lipoprotein; Endocrinology; High-density lipoprotein; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01767172,0.004049866,0.01683022,0.005606444,0.0007760312,0.003628527,0.002187429,0.002718722,0.002514346],"category_scores_gemma":[0.0331976,0.001843535,0.05090863,0.00532117,0.0006901668,0.001585129,0.001280755,0.002591502,0.0003134622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416296,"about_ca_system_score_gemma":0.002149279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006344577,"about_ca_topic_score_gemma":0.01072336,"domain_scores_codex":[0.9862211,0.009653782,0.001421889,0.001501895,0.0009002327,0.0003012453],"domain_scores_gemma":[0.9839632,0.01245069,0.001531294,0.0008844484,0.0009277705,0.0002424827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.006874149,0.00005227384,0.004998968,0.02284323,0.9583911,0.0001229722,0.00003253892,0.001346949,0.0004314884,0.00007970734,0.000401444,0.004425089],"study_design_scores_gemma":[0.001468378,0.0002734178,0.002624778,0.001109005,0.9934177,0.00006276464,0.00001247439,0.0004691816,0.0001111603,0.0001173797,0.0003210297,0.00001270758],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05776931,0.9348746,0.003542882,0.0006435051,0.0007363672,0.0005380344,0.001075315,0.0001519375,0.0006681399],"genre_scores_gemma":[0.6735765,0.3089343,0.01137472,0.001482308,0.0006827354,0.00151503,0.001497281,0.00009026902,0.0008467734],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01767172,"threshold_uncertainty_score":0.09345812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035239007971395,"score_gpt":0.3347728357479489,"score_spread":0.2312489349508094,"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."}}