{"id":"W4312882388","doi":"10.1007/978-3-031-07389-2_32","title":"GWAS and GWAIS for Identifying Connections Between Genetics, Nutrition, and Health: The Example of Omega-3 and Plasma Triglycerides","year":2022,"lang":"en","type":"book-chapter","venue":"Biomarkers in disease","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Genome-wide association study; Genetic association; Triglyceride; Biology; Computational biology; Genetics; Bioinformatics; Single-nucleotide polymorphism; Gene; Endocrinology; Genotype; Cholesterol","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":[0.002107228,0.001152306,0.0009908836,0.00199854,0.0005403924,0.002897945,0.001100317,0.002094791,0.03131853],"category_scores_gemma":[0.004127544,0.0005533847,0.001040628,0.002417921,0.001902872,0.003501179,0.001578549,0.00408359,0.01117175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006931426,"about_ca_system_score_gemma":0.0008600115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224834,"about_ca_topic_score_gemma":0.00619272,"domain_scores_codex":[0.9993055,0.0002732995,0.00003428822,0.00009136167,0.0002694154,0.00002609373],"domain_scores_gemma":[0.9977869,0.001800137,0.00005706598,0.0001137261,0.0001645358,0.00007761853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008024757,0.00005544985,0.00138202,0.0005802298,0.0001176681,0.0003322723,0.0003700387,0.0008534973,0.00216922,0.2789011,0.33415,0.3810083],"study_design_scores_gemma":[0.00001511775,0.00002822703,0.001648765,0.0003149324,0.00003230965,0.000997553,0.0001527197,0.0009546945,0.0005011393,0.2531044,0.7422124,0.00003760592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002957253,0.3352012,0.2314427,0.074181,0.01592288,0.0001893324,0.002242616,0.002393956,0.3354691],"genre_scores_gemma":[0.02140914,0.1646889,0.2572708,0.03467124,0.009276493,0.0003905919,0.001290039,0.00154957,0.5094533],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03131853,"threshold_uncertainty_score":0.1047709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07205315666959929,"score_gpt":0.3189456333471065,"score_spread":0.2468924766775072,"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."}}