{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005039624,0.0001766058,0.0003009056,0.0001004184,0.0002287881,0.00001640494,0.00008978164,0.0001461956,0.00001354468],"category_scores_gemma":[0.0001160819,0.0001674908,0.00007864508,0.00002820332,0.0002520423,0.000002632783,0.000173432,0.00007655948,1.214103e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002937594,"about_ca_system_score_gemma":0.0001244487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002131374,"about_ca_topic_score_gemma":0.0001894087,"domain_scores_codex":[0.9988722,0.00007687382,0.0003871763,0.0004101888,0.00007306055,0.000180495],"domain_scores_gemma":[0.9991413,0.0001986267,0.0002567309,0.0002249476,0.00004689203,0.0001314701],"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":[0.002634313,0.0005455094,0.7410241,0.006706102,0.006367838,0.00002029446,0.001319437,0.00007484604,0.003649738,0.04801417,0.0837246,0.105919],"study_design_scores_gemma":[0.002604193,0.0004294724,0.3375107,0.0001386815,0.000314444,0.0000112517,0.0002177061,0.0000935151,0.0000540287,0.01703547,0.64112,0.0004705391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578327,0.1241952,0.000865437,0.00547089,0.0004403707,0.003755772,0.005559059,0.00002223225,0.001858342],"genre_scores_gemma":[0.9682353,0.02578519,0.001479079,0.0002729506,0.0002569213,0.0002906056,0.001399738,0.00005850265,0.002221717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5573953,"threshold_uncertainty_score":0.6830078,"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."}}