{"id":"W4285303485","doi":"10.1007/978-3-030-81304-8_32-1","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":"Nutrition, Genetics, and Disease","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; Omega; Genetics; Computational biology; Biology; Medicine; Single-nucleotide polymorphism; Genotype; Philosophy; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002768371,0.000255166,0.0002978032,0.0001560467,0.0002787271,0.00004276901,0.0001233514,0.0001331637,0.00002173854],"category_scores_gemma":[0.00005958961,0.0002589168,0.0001126856,0.00003708809,0.0004140851,0.00000578834,0.000191237,0.00007736775,1.541021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002989417,"about_ca_system_score_gemma":0.0001956287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188542,"about_ca_topic_score_gemma":0.0001264287,"domain_scores_codex":[0.9986156,0.00005759798,0.0004125103,0.0005621556,0.0001396957,0.000212418],"domain_scores_gemma":[0.9989911,0.0001033387,0.0002094779,0.0003334786,0.00007464345,0.0002879768],"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":[0.02520775,0.003572489,0.4548876,0.05268936,0.01121129,0.0001598421,0.003025836,0.00005557026,0.02296033,0.06616952,0.1888373,0.1712231],"study_design_scores_gemma":[0.007348956,0.0007101456,0.09138654,0.0004421889,0.0006509647,0.00001901064,0.0003403822,0.00004272651,0.0006377149,0.02126232,0.8762439,0.0009151516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.710438,0.2688834,0.0002777794,0.002237753,0.0004791829,0.004651766,0.01157102,0.00003479001,0.001426265],"genre_scores_gemma":[0.9391112,0.05382358,0.000836834,0.0003370946,0.0005603916,0.0004373935,0.002844421,0.0001128323,0.001936216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6874066,"threshold_uncertainty_score":0.9999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06121168247176802,"score_gpt":0.3051189510772298,"score_spread":0.2439072686054618,"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."}}