{"id":"W3044035113","doi":"10.3389/fendo.2020.00455","title":"Genetics of Hypertriglyceridemia","year":2020,"lang":"en","type":"review","venue":"Frontiers in Endocrinology","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Genetics; Hypertriglyceridemia; Biology; Genetic predisposition; Allele; Phenotype; Candidate gene; Single-nucleotide polymorphism; International HapMap Project; Gene; Genotype; Haplotype; Triglyceride; Endocrinology; 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":[0.0001989853,0.0005189934,0.0004216153,0.0005317658,0.0002566597,0.0005508502,0.0003318577,0.0007758244,0.001817577],"category_scores_gemma":[0.0005899129,0.0001612712,0.0002443793,0.0006826112,0.0004961203,0.0002377506,0.0004374826,0.0004698056,0.0003237564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261835,"about_ca_system_score_gemma":0.0003694019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662916,"about_ca_topic_score_gemma":0.001233148,"domain_scores_codex":[0.9997472,0.00008609593,0.00001351393,0.00006363911,0.00006358864,0.00002588041],"domain_scores_gemma":[0.9997904,0.00007874003,0.00005986217,0.00001150207,0.00001752082,0.00004208778],"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":[0.001770248,0.000286812,0.4186962,0.001085884,0.001053204,0.07868847,0.001840478,0.002718382,0.2023329,0.0525136,0.02190729,0.2171066],"study_design_scores_gemma":[0.0002450112,0.0004827928,0.6593596,0.0008618804,0.001087731,0.178388,0.001204715,0.005487622,0.01823135,0.04109364,0.09340431,0.0001533734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9077521,0.04158651,0.01690708,0.009351373,0.000413126,0.0001227024,0.001453236,0.0004811049,0.02193275],"genre_scores_gemma":[0.9729839,0.01641088,0.004138494,0.0007505593,0.0002903962,0.00005278078,0.0005591648,0.0000451448,0.004768662],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001817577,"threshold_uncertainty_score":0.006080449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723768484115033,"score_gpt":0.3278447073268885,"score_spread":0.2906070224857382,"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."}}