{"id":"W2080036080","doi":"10.1194/jlr.r009720","title":"Genetic determinants of plasma triglycerides","year":2010,"lang":"en","type":"review","venue":"Journal of Lipid Research","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Ontario Genomics; Ontario Genomics Institute; Genome Canada; Heart and Stroke Foundation of Canada","keywords":"Genome-wide association study; Hypertriglyceridemia; Genetic variation; Biology; Computational biology; Genetic association; Gene; Genetics; Bioinformatics; Population; Triglyceride; Medicine; Single-nucleotide polymorphism; Endocrinology; Genotype; Cholesterol","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":[0.0004172583,0.0005310757,0.000320838,0.0007614288,0.0004196871,0.0005038427,0.0003345193,0.0008195193,0.004371778],"category_scores_gemma":[0.002263797,0.0001820745,0.000454343,0.001061904,0.0003484875,0.0002208707,0.0003587756,0.000587268,0.0003446895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455684,"about_ca_system_score_gemma":0.0002318774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547359,"about_ca_topic_score_gemma":0.002092119,"domain_scores_codex":[0.9994659,0.0001453009,0.00004384543,0.0002025893,0.00008743322,0.00005489452],"domain_scores_gemma":[0.9993367,0.0002876548,0.0001482074,0.00006087362,0.00007508463,0.00009151817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001149784,0.0001228426,0.9418238,0.0001317055,0.0008609227,0.007768015,0.0004975164,0.0006887369,0.01784321,0.003462401,0.002726286,0.02292492],"study_design_scores_gemma":[0.00004825738,0.0001850494,0.9833745,0.00007046745,0.0003689154,0.007473006,0.0002094037,0.001821683,0.001073835,0.002702783,0.002640927,0.0000312939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9855231,0.003360305,0.00364586,0.001249216,0.0001156879,0.00004880479,0.001669488,0.00006657757,0.004320868],"genre_scores_gemma":[0.9968404,0.0006094945,0.001005923,0.0001501234,0.0000784123,0.00002211077,0.0004886931,0.00001351676,0.0007913846],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004371778,"threshold_uncertainty_score":0.01462507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1661853617761899,"score_gpt":0.4770667074558464,"score_spread":0.3108813456796565,"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."}}