{"id":"W4403450074","doi":"10.1016/j.euroneuro.2024.08.272","title":"W63. NAVIGATING POLYGENIC RISK SCORE PREDICTION OF ANTIDEPRESSANT SYMPTOM REMISSION IN A MULTI-ANCESTRY SAMPLE","year":2024,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Polygenic risk score; Antidepressant; Sample (material); Internal medicine; Medicine; Psychology; Clinical psychology; Biology; Genetics; Genotype; Gene; Single-nucleotide polymorphism; Chemistry","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":[0.001516326,0.0009716284,0.0007240128,0.0008298398,0.001481653,0.001047859,0.0008953929,0.00156317,0.006118233],"category_scores_gemma":[0.003633467,0.0004120085,0.001866633,0.001555223,0.0004645377,0.0005799201,0.001064165,0.001376412,0.000574356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603766,"about_ca_system_score_gemma":0.0004190666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709995,"about_ca_topic_score_gemma":0.01752497,"domain_scores_codex":[0.9984118,0.0005575675,0.0001354029,0.0006332705,0.00008108943,0.0001808302],"domain_scores_gemma":[0.9983428,0.000666252,0.0004000143,0.0002494175,0.0001012698,0.0002403202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002981824,0.0002309982,0.9682464,0.00006181736,0.003372457,0.001656198,0.0006675632,0.0006442121,0.009657051,0.0006017533,0.001350681,0.01052888],"study_design_scores_gemma":[0.0001749206,0.0002799508,0.9898704,0.000044314,0.001650567,0.001741297,0.0003427666,0.003204423,0.0005326793,0.0007531092,0.0013695,0.00003611695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969991,0.0002624766,0.001122899,0.0002062851,0.00004837411,0.00001078237,0.0007668132,0.00002490224,0.0005583648],"genre_scores_gemma":[0.997947,0.00006041388,0.0006277837,0.000105904,0.00002800924,0.00001292878,0.0004951213,0.00003048609,0.0006923772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01709995,"threshold_uncertainty_score":0.03400081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665823028999277,"score_gpt":0.3255581239279133,"score_spread":0.2888998936379206,"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."}}