{"id":"W3029978267","doi":"10.1590/1516-4446-2020-0935","title":"How can we improve antidepressant adherence in the management of depression? A targeted review and 10 clinical recommendations","year":2020,"lang":"en","type":"review","venue":"Brazilian Journal of Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Medical Research Council; Sunovion; Teva Pharmaceutical Industries; National Health and Medical Research Council; Servier; Pfizer; National Institutes of Health; H. Lundbeck A/S; Beyond Blue; Allergan; Bristol-Myers Squibb","keywords":"Medicine; Psychoeducation; Antidepressant; Psychological intervention; Tolerability; Psychiatry; Mental health; Major depressive disorder; Depression (economics); Adverse effect; Intensive care medicine; Cognition; Pharmacology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001060137,0.0004456532,0.002729775,0.0002169782,0.00005686615,0.00003854383,0.0005781623,0.0002371889,0.0001368332],"category_scores_gemma":[0.0001542537,0.0002472541,0.0008479626,0.000502871,0.0001058688,0.0001196939,0.0001425011,0.001194675,0.000005360138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004494459,"about_ca_system_score_gemma":0.0005103851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002707484,"about_ca_topic_score_gemma":0.00001056117,"domain_scores_codex":[0.9959208,0.0007257485,0.002142644,0.0004527124,0.0005142245,0.000243812],"domain_scores_gemma":[0.996155,0.0002220771,0.00254803,0.0006854114,0.000124328,0.0002652024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006863633,0.0004820676,0.001823854,0.05461995,0.0008570356,0.0001911006,0.00002977384,1.520731e-8,2.786429e-7,0.0000262745,0.03449406,0.9074069],"study_design_scores_gemma":[0.001922849,0.0007629816,0.00212741,0.2195429,0.008679521,0.000709886,0.0001719623,6.642508e-7,4.704416e-7,0.0001265853,0.765755,0.000199792],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001679894,0.9703399,0.00001750172,0.02674512,0.0008293503,0.001711951,0.00007604763,0.000009568459,0.0002537522],"genre_scores_gemma":[0.00007646449,0.9898424,0.008923972,0.000424853,0.000317549,0.00004453191,0.00003749943,0.0000456476,0.0002870987],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9072071,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05090298263557626,"score_gpt":0.3902849452620302,"score_spread":0.339381962626454,"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."}}