{"id":"W2101437014","doi":"10.3109/15622975.2013.766762","title":"Pharmacogenomic predictors of citalopram treatment outcome in major depressive disorder","year":2013,"lang":"en","type":"article","venue":"The World Journal of Biological Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Citalopram; Pharmacogenomics; Major depressive disorder; Antidepressant; Medicine; Oncology; Internal medicine; Pharmacogenetics; Bioinformatics; Psychiatry; Pharmacology; Mood; Gene; Biology; Genetics; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002122834,0.0002204444,0.0005814335,0.0002238898,0.00004787677,0.000009444347,0.0002389491,0.00008527725,0.000684083],"category_scores_gemma":[0.00005020874,0.00009554797,0.0003226062,0.0002308622,0.0001581436,0.00007928506,0.00005147628,0.0003094896,0.0000346524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031836,"about_ca_system_score_gemma":0.00006738247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004716074,"about_ca_topic_score_gemma":0.00003013766,"domain_scores_codex":[0.998338,0.0001569721,0.0008584216,0.0001698647,0.0002251925,0.000251569],"domain_scores_gemma":[0.9987629,0.0002011512,0.0005625591,0.0002526609,0.00007095753,0.0001497861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007163304,0.001286717,0.9859964,0.00001572408,0.0002811888,0.00001967175,0.00006407977,0.00002412798,0.004803733,0.00004178748,0.001202954,0.005547347],"study_design_scores_gemma":[0.007588241,0.001565062,0.9869635,0.000145896,0.0002611302,0.0001318042,0.0001442897,0.00001374792,0.0009154547,0.001008401,0.001157606,0.0001048284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850478,0.006141638,0.0000120169,0.00648924,0.0007473385,0.0005940743,0.000008007997,0.00001474755,0.0009452003],"genre_scores_gemma":[0.9975589,0.0003608961,0.0008530622,0.0002982563,0.0003334956,0.00002089521,0.000004375082,0.00001492764,0.000555188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251117,"threshold_uncertainty_score":0.7490228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817807879511761,"score_gpt":0.3142644908762227,"score_spread":0.2860864120811051,"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."}}