{"id":"W4387496778","doi":"10.1016/j.euroneuro.2023.08.155","title":"49. IDENTIFYING SUSCEPTIBLE INDIVIDUALS TO THE EFFECTS OF EARLY LIFE ADVERSITY THROUGH GENOME-WIDE ENVIRONMENT INTERACTION STUDIES (GWEIS): FROM EARLY IMPAIRMENTS IN EXECUTIVE FUNCTION TO PSYCHIATRIC AND METABOLIC DISEASES","year":2023,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"","keywords":"Single-nucleotide polymorphism; Mood; Disease; Genetic architecture; Mood disorders; Genetic predisposition; Psychiatry; SNP; Psychology; Clinical psychology; Medicine; Genotype; Genetics; Biology; Gene; Anxiety; Internal medicine","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":[0.001324453,0.0005364671,0.0004440966,0.0005599321,0.0006181437,0.0006995705,0.0004079241,0.001083666,0.004754819],"category_scores_gemma":[0.003225659,0.0001908565,0.0006718747,0.0005471032,0.0002405179,0.0004697926,0.0007072837,0.000687623,0.0009290852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002528428,"about_ca_system_score_gemma":0.0006656414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007324269,"about_ca_topic_score_gemma":0.01536527,"domain_scores_codex":[0.9995278,0.0001580306,0.00004462914,0.0001197152,0.00006904008,0.00008080353],"domain_scores_gemma":[0.9990124,0.0002891526,0.0001970682,0.0001357421,0.0001509545,0.0002145908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002427048,0.0004378278,0.7886183,0.0007234396,0.001954593,0.001441839,0.0005478858,0.0003458166,0.01642796,0.002915811,0.03026597,0.1538936],"study_design_scores_gemma":[0.0001393178,0.0003851452,0.980184,0.0002050284,0.0009515124,0.0006462868,0.0001409641,0.0001722353,0.002416627,0.002216618,0.0125123,0.00002991251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603873,0.0169853,0.01139343,0.01683315,0.002017888,0.0005726598,0.04737272,0.0004589306,0.04397868],"genre_scores_gemma":[0.9482533,0.009095607,0.01396574,0.007263166,0.00091312,0.0006213771,0.009494037,0.0001044539,0.01028921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007324269,"threshold_uncertainty_score":0.01590645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895150828042884,"score_gpt":0.3225879115244645,"score_spread":0.2936364032440357,"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."}}