{"id":"W4414825544","doi":"10.1016/j.euroneuro.2025.08.224","title":"M28. A TWO-STEP APPROACH TO EXPLORE TIME-DEPENDENT GENE-ENVIRONMENT INTERACTIONS IN EPIGENOME-WIDE STUDIES","year":2025,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; McGill University; Université Laval; Université de Montréal; Simon Fraser University","funders":"","keywords":"Twin study; dNaM; Gene–environment interaction; Correlation; Monozygotic twin; Longitudinal study; Epigenetics; DNA methylation; Association (psychology)","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":[0.002683403,0.0008886203,0.001334833,0.001073841,0.000829405,0.001135044,0.001143651,0.001607293,0.01237739],"category_scores_gemma":[0.003098561,0.0007239139,0.002412478,0.001197904,0.0004813445,0.0004919964,0.001678144,0.002167047,0.004580567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004725255,"about_ca_system_score_gemma":0.001438098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840167,"about_ca_topic_score_gemma":0.00722437,"domain_scores_codex":[0.9982141,0.0005428948,0.00008455451,0.0006011014,0.0003712984,0.0001860603],"domain_scores_gemma":[0.9988877,0.0004164531,0.00008343026,0.00037833,0.0001362917,0.00009767156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001764783,0.0004491638,0.006208008,0.001253613,0.001210591,0.0005526121,0.0003850896,0.002638907,0.8692719,0.01507955,0.007715954,0.09346978],"study_design_scores_gemma":[0.001040335,0.002794262,0.06913901,0.0001279449,0.001274623,0.002475417,0.0002310234,0.04353159,0.6970417,0.02367355,0.1583439,0.0003266835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09403698,0.001997644,0.8648582,0.001070746,0.0008005173,0.003038617,0.01646252,0.004113469,0.01362125],"genre_scores_gemma":[0.1845255,0.001451261,0.7487109,0.001650433,0.0001380143,0.008193632,0.01058861,0.001271329,0.04347021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01237739,"threshold_uncertainty_score":0.04140645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880248981064456,"score_gpt":0.3361789566107351,"score_spread":0.2973764668000906,"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."}}