{"id":"W3113023101","doi":"10.1093/aje/kwaa260","title":"Can the Risk of Severe Depression-Related Outcomes Be Reduced by Tailoring the Antidepressant Therapy to Patient Characteristics?","year":2020,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Treatment of Major Depression","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Antidepressant; Depression (economics); Medicine; Psychiatry; Intensive care medicine; Anxiety","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":[0.01296446,0.0006157913,0.001049318,0.0008543867,0.0003501193,0.001260815,0.0007335659,0.001419634,0.001516091],"category_scores_gemma":[0.05761356,0.000436018,0.002676943,0.001162434,0.0005645211,0.001651951,0.0009466386,0.001766559,0.0003470446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004686659,"about_ca_system_score_gemma":0.001116974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004176489,"about_ca_topic_score_gemma":0.006389201,"domain_scores_codex":[0.9922192,0.005446942,0.0005401781,0.0008913499,0.0004780936,0.0004242689],"domain_scores_gemma":[0.9670397,0.02163951,0.007076686,0.002751999,0.0006758461,0.000816196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001693197,0.0005084067,0.8902525,0.0002842367,0.003052514,0.0001399913,0.0002883053,0.005626321,0.0003888826,0.0009410935,0.001341638,0.09548288],"study_design_scores_gemma":[0.0003582691,0.003610282,0.9407536,0.0003590429,0.003587891,0.0004329864,0.0005000463,0.03125094,0.0008487817,0.01375008,0.004450419,0.00009762809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490891,0.007229907,0.02437665,0.01416955,0.0003326848,0.0002089803,0.001451817,0.0001591721,0.002982231],"genre_scores_gemma":[0.9898193,0.00122255,0.006222164,0.001692637,0.0001702225,0.00009069795,0.0004760053,0.0000215489,0.0002848672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296446,"threshold_uncertainty_score":0.0685634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463598913559238,"score_gpt":0.3159604766010163,"score_spread":0.2813244874654239,"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."}}