{"id":"W2098221822","doi":"10.1002/gps.1804","title":"Predicting 6‐week treatment response to escitalopram pharmacotherapy in late‐life major depressive disorder","year":2007,"lang":"en","type":"article","venue":"International Journal of Geriatric Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Institute of Mental Health","keywords":"Escitalopram; Major depressive disorder; Anxiety; Depression (economics); Psychology; Pharmacotherapy; Multivariate analysis; Psychiatry; Partial hospitalization; Quality of life (healthcare); Univariate analysis; Internal medicine; Medicine; Mood; Mental health; Antidepressant","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":[0.0006492169,0.0002257633,0.0003023008,0.000282935,0.0001602299,0.0002818333,0.0001426995,0.0003467606,0.001117394],"category_scores_gemma":[0.00238131,0.0001033065,0.0003615065,0.0001459963,0.00008093962,0.0001809523,0.0001777428,0.0002999608,0.0002762616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371217,"about_ca_system_score_gemma":0.000098889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008011544,"about_ca_topic_score_gemma":0.001822087,"domain_scores_codex":[0.9997224,0.0001080242,0.00005281678,0.00002767595,0.00005814263,0.00003096641],"domain_scores_gemma":[0.9988608,0.0002555832,0.0005659076,0.00002822582,0.0001181869,0.0001711152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004807534,0.00009322022,0.9951702,0.00001796717,0.00007403873,0.00002982596,0.00003484937,0.00008700066,0.0003971632,0.000002595292,0.00008231756,0.003530066],"study_design_scores_gemma":[0.00001545729,0.0002915777,0.9990919,0.000005156366,0.00001637184,0.00009818823,0.00003956754,0.0003205898,0.00006050869,0.000003549347,0.00005562782,0.000001568297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994924,0.0001804497,0.00003976805,0.00003068456,0.000003503186,0.000008937061,0.0001134071,0.000002588323,0.0001282324],"genre_scores_gemma":[0.9995338,0.00006145522,0.00007129712,0.00001812346,0.000005253529,0.000006002505,0.0002169049,4.897208e-7,0.00008674413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001117394,"threshold_uncertainty_score":0.003738105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202223416007657,"score_gpt":0.3271770896354463,"score_spread":0.3151548554753697,"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."}}