{"id":"W4408172224","doi":"10.1007/978-3-031-32035-4_4-1","title":"Using Functional Genomics in the Understanding of Gene-Environment Interaction Effects on Mental Health","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Mental health; Genomics; Computational biology; Functional genomics; Biology; Gene; Psychology; Genetics; Genome; Psychiatry","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":[0.0007360349,0.0006778603,0.0006847751,0.0008493966,0.0002918335,0.00145284,0.0009006543,0.001262587,0.006052428],"category_scores_gemma":[0.0007162952,0.0003026605,0.0004948598,0.000953207,0.002355922,0.001677905,0.000636576,0.002045371,0.001033608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006553518,"about_ca_system_score_gemma":0.0006161691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344473,"about_ca_topic_score_gemma":0.004144844,"domain_scores_codex":[0.9998642,0.0000498149,0.000005023584,0.00002818627,0.00004145248,0.00001132188],"domain_scores_gemma":[0.9995564,0.0003975746,0.00001076941,0.00001195219,0.0000126135,0.00001074541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005585105,0.00007961097,0.001699329,0.00061789,0.0001183995,0.0004262595,0.000530978,0.005478584,0.01024022,0.7065389,0.02427268,0.2499413],"study_design_scores_gemma":[0.000007915333,0.00003672155,0.002960075,0.0001431654,0.00003201149,0.0005936741,0.0001846901,0.003578891,0.001269751,0.8756921,0.1154773,0.0000238437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01299888,0.2718686,0.4517715,0.03927367,0.002057393,0.00006425879,0.000859628,0.0007713229,0.2203347],"genre_scores_gemma":[0.2018477,0.2866996,0.3630673,0.01745972,0.004001207,0.0002632567,0.000677716,0.0003425345,0.1256409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006052428,"threshold_uncertainty_score":0.0202474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479482751745992,"score_gpt":0.2915618482045625,"score_spread":0.2267670206871026,"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."}}