{"id":"W7132937114","doi":"","title":"Unravelling Variability in Antidepressant Outcomes using Pharmacogenetic and Pharmacokinetic Strategies","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Treatment of Major Depression","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Taylor Family Institute for Innovative Psychiatric Research, Washington University School of Medicine in St. Louis; National Center for Advancing Translational Sciences; Campbell Family Mental Health Research Institute; U.S. Public Health Service; Pfizer; National Institute of Mental Health; Eli Lilly and Company","keywords":"Pharmacogenetics; Sertraline; CYP2D6; Ven; Olanzapine; Antidepressant; Venlafaxine; Population; Pharmacokinetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006334034,0.0007995013,0.00107542,0.001162506,0.0002899852,0.001691015,0.0007480116,0.0008488626,0.00156907],"category_scores_gemma":[0.01230651,0.0003636547,0.001579732,0.001250529,0.0003967972,0.0009470535,0.0006970094,0.001282515,0.0003527247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527776,"about_ca_system_score_gemma":0.000702626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129391,"about_ca_topic_score_gemma":0.002872615,"domain_scores_codex":[0.9981595,0.001070465,0.0001110984,0.0004403504,0.0001491693,0.00006935721],"domain_scores_gemma":[0.9941215,0.003906806,0.001013874,0.0006542624,0.0001983166,0.0001052879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009429079,0.0003450516,0.776548,0.0004072307,0.006789309,0.0003788634,0.0005177437,0.02648664,0.006494327,0.007529723,0.002217698,0.1713425],"study_design_scores_gemma":[0.0001978406,0.001217445,0.6094941,0.0003429184,0.004369408,0.0008780996,0.0005468857,0.3038894,0.003992795,0.05743235,0.01750065,0.0001381263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7915584,0.008822992,0.1838839,0.003990547,0.0001851148,0.00027015,0.00419156,0.0003626416,0.006734598],"genre_scores_gemma":[0.9638871,0.002458806,0.03053875,0.0006399881,0.0001300195,0.0001460015,0.001397193,0.00006761391,0.0007345243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006334034,"threshold_uncertainty_score":0.03349799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279044584057805,"score_gpt":0.4153515409340038,"score_spread":0.3725610950934258,"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."}}