{"id":"W4409281476","doi":"10.1016/j.biopsych.2025.02.460","title":"223. Polygenic Risk Score Analysis of Antidepressant Treatment Outcomes: A CAN-BIND-1 Study Report","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of British Columbia; McGill University; Simon Fraser University; University of Ottawa; Dalhousie University; Hotchkiss Brain Institute; University of Calgary; McMaster University; Queen's University; Centre for Addiction and Mental Health; University of Guelph; St. Joseph’s Healthcare Hamilton; University of Toronto","funders":"","keywords":"Polygenic risk score; Antidepressant; Psychology; Medicine; Internal medicine; Pharmacology; Psychiatry; Oncology; Biology; Genetics; Gene; Genotype; Single-nucleotide polymorphism","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":[0.009217993,0.0008336997,0.0008149286,0.0007396677,0.001413,0.001424025,0.00129889,0.001741102,0.01031954],"category_scores_gemma":[0.02298139,0.0007500791,0.00225956,0.001142747,0.0004222337,0.0007762878,0.001199639,0.001712067,0.002688057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007449861,"about_ca_system_score_gemma":0.001595152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04037151,"about_ca_topic_score_gemma":0.03556346,"domain_scores_codex":[0.9949108,0.003599881,0.0002329539,0.0004898077,0.0003984222,0.0003682463],"domain_scores_gemma":[0.989899,0.004351116,0.001028829,0.002763705,0.001214521,0.0007427484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0154499,0.001813251,0.8242167,0.0006263385,0.008922123,0.000883685,0.0004322434,0.001583533,0.0005914849,0.003871957,0.0794074,0.0622014],"study_design_scores_gemma":[0.004712222,0.002246225,0.9495198,0.0002623348,0.007812059,0.0006364795,0.0004304026,0.003744167,0.0008573316,0.004690808,0.02496173,0.0001265753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.819419,0.007757814,0.01749838,0.01575835,0.002239998,0.001483654,0.1059664,0.0004887764,0.02938777],"genre_scores_gemma":[0.930873,0.001433197,0.006909636,0.004228501,0.001046508,0.001727245,0.02869652,0.0002466569,0.02483852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04037151,"threshold_uncertainty_score":0.08027303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3277848519490936,"score_gpt":0.4611605714046357,"score_spread":0.1333757194555421,"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."}}