{"id":"W2891998311","doi":"10.1161/atvb.36.suppl_1.599","title":"Abstract 599: Elucidating the Genetic Determinants of Extreme High-density Lipoprotein Phenotypes Using Next-generation Sequencing","year":2016,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Western University","funders":"","keywords":"Genetics; Phenotype; Gene; Polygene; Biology; Dyslipidemia; High-density lipoprotein; Genetic variation; Disease; Quantitative trait locus; Medicine; Internal medicine; Bioinformatics; Cholesterol; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000756669,0.0003814022,0.0003806166,0.0005603926,0.0002835501,0.0005143042,0.0002343002,0.0004883496,0.002372885],"category_scores_gemma":[0.001191486,0.000121661,0.000513834,0.0004972329,0.0001422418,0.0001410342,0.0003211391,0.0004576729,0.0007332482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010118,"about_ca_system_score_gemma":0.0003408663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002107362,"about_ca_topic_score_gemma":0.002812925,"domain_scores_codex":[0.9996634,0.00007542601,0.00003432651,0.0001076084,0.0000813008,0.00003803637],"domain_scores_gemma":[0.99961,0.000176776,0.00006343638,0.00003448229,0.00006340081,0.00005192108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001361541,0.0003394907,0.3727176,0.0003292868,0.0005938886,0.001883491,0.000518322,0.002669655,0.5304147,0.001459934,0.004905477,0.08280662],"study_design_scores_gemma":[0.0002627168,0.0008122542,0.8415776,0.00008205621,0.0006505114,0.004252025,0.0002072559,0.03785754,0.1012562,0.001182658,0.01179035,0.00006871389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658013,0.0005076493,0.02598517,0.0002115951,0.00005178556,0.0001121585,0.005176675,0.000127093,0.002026609],"genre_scores_gemma":[0.9471278,0.0004119313,0.04198072,0.0004254896,0.0000592902,0.0001752129,0.007826937,0.00009519741,0.001897428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002372885,"threshold_uncertainty_score":0.007938087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09898145871138674,"score_gpt":0.2768668989981973,"score_spread":0.1778854402868105,"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."}}