{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001139233,0.000257218,0.00023858,0.00009705131,0.0001114737,0.00002390953,0.0003407582,0.00006517494,0.0007546743],"category_scores_gemma":[0.0002459549,0.0002557336,0.00008802375,0.0005494599,0.0002777274,0.0002599224,0.0003081789,0.001055149,0.0003431775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412446,"about_ca_system_score_gemma":0.00002212416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002637968,"about_ca_topic_score_gemma":0.00001195417,"domain_scores_codex":[0.9960515,0.001449039,0.000672743,0.001022529,0.0002942899,0.0005099087],"domain_scores_gemma":[0.9988398,0.0003948483,0.000219562,0.000348126,0.000006586268,0.00019106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007984778,0.0001841413,0.4559092,0.00006745492,0.0000192602,0.0003648633,0.000730723,0.002636808,0.4865397,0.00000193332,0.0004698985,0.05299622],"study_design_scores_gemma":[0.001098329,0.0001819739,0.9717697,0.0002445188,0.00004199253,0.00004296689,0.00005026333,0.01962062,0.001512766,0.00002447979,0.005215858,0.0001965594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939894,0.0003971319,0.001664891,0.0001466398,0.0009469433,0.0004866856,0.00009458172,0.000233727,0.002039984],"genre_scores_gemma":[0.9968951,0.001285988,0.001048952,0.0004412358,0.0001275369,0.00001632509,0.00001370876,0.0001130504,0.00005814782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5158605,"threshold_uncertainty_score":0.9999895,"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."}}