{"id":"W4381469452","doi":"10.1159/000531181","title":"Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits","year":2023,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Genome-wide association study; Trait; Gene; Quantitative trait locus; Biology; Genetic association; Phenotype; Genetics; Biological pathway; Computational biology; Gene–environment interaction; Bioinformatics; Genotype; Single-nucleotide polymorphism; Computer science; Gene expression","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":[0.001526975,0.0008581402,0.0008786278,0.005617271,0.0008610327,0.001729599,0.0008502424,0.0006187058,0.005002992],"category_scores_gemma":[0.006643114,0.0002332559,0.002352439,0.003300575,0.0005534567,0.0003562954,0.001109688,0.0007279814,0.0006645414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006193887,"about_ca_system_score_gemma":0.001744698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003537888,"about_ca_topic_score_gemma":0.004096162,"domain_scores_codex":[0.9989657,0.000366532,0.00005212762,0.0003292519,0.000169348,0.000116934],"domain_scores_gemma":[0.9969555,0.002275606,0.0002768539,0.0001649329,0.0001920901,0.0001349691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002960976,0.0008810899,0.5615126,0.002798395,0.004665693,0.004273484,0.001345181,0.1264078,0.04373583,0.02174182,0.01175226,0.2179248],"study_design_scores_gemma":[0.000428086,0.0007285426,0.2512584,0.0003366607,0.002463799,0.002255459,0.001763506,0.6481898,0.008456681,0.07137348,0.01259811,0.0001475344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7139178,0.00242876,0.2648498,0.001065375,0.0001087451,0.0004684626,0.01083221,0.001748544,0.004580307],"genre_scores_gemma":[0.8732663,0.0004014205,0.1176792,0.0002091906,0.00005940681,0.0003902102,0.007037434,0.00009576922,0.000861039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005617271,"threshold_uncertainty_score":0.01673675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872736009470662,"score_gpt":0.2777384931052763,"score_spread":0.2490111330105697,"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."}}