{"id":"W4280594364","doi":"10.3389/fnins.2022.862315","title":"A Role for Gene-Environment Interactions in Autism Spectrum Disorder Is Supported by Variants in Genes Regulating the Effects of Exposure to Xenobiotics","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; National Institute of Mental Health; Medical Research Council; National Institutes of Health; Universidade de Lisboa; Autism Speaks; Simons Foundation Autism Research Initiative; Canadian Institutes of Health Research; Genome Canada; Simons Foundation","keywords":"Xenobiotic; Gene; In silico; Toxicogenomics; Genetics; Biology; Computational biology; Context (archaeology); Candidate gene; Autism spectrum disorder; Autism; Gene expression; Medicine; Biochemistry; Enzyme; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008735521,0.0004723704,0.0006930828,0.00305601,0.0004973076,0.0006952358,0.000411664,0.0005391522,0.004018216],"category_scores_gemma":[0.003154369,0.0001903966,0.001031809,0.002701718,0.0005728419,0.0004382467,0.0007265789,0.0004895857,0.0003772977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288961,"about_ca_system_score_gemma":0.0004923196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003406002,"about_ca_topic_score_gemma":0.006158079,"domain_scores_codex":[0.9987347,0.0002350822,0.0001831866,0.0005214271,0.0002475713,0.00007814569],"domain_scores_gemma":[0.99663,0.00200272,0.0009774581,0.0001533302,0.0001246304,0.0001118585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001171406,0.00007583285,0.8903856,0.002290108,0.002510066,0.007050922,0.0004687044,0.001187813,0.04291358,0.001093914,0.001693303,0.04915866],"study_design_scores_gemma":[0.00002185953,0.00009741144,0.987379,0.0002384241,0.0008237913,0.004147791,0.0002144361,0.0007036312,0.001799666,0.001180692,0.003372204,0.00002111842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578155,0.02322566,0.003641646,0.001194256,0.00006027837,0.0000397473,0.008743823,0.0001548957,0.005124116],"genre_scores_gemma":[0.988863,0.005065131,0.002560318,0.0001723341,0.00003216052,0.00002575805,0.002952302,0.00002402804,0.0003049446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004018216,"threshold_uncertainty_score":0.01344228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254039267318812,"score_gpt":0.2603371753403985,"score_spread":0.2477967826672104,"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."}}