{"id":"W3092229167","doi":"10.1186/s12991-020-00306-2","title":"How to improve adherence to antidepressant treatments in patients with major depression: a psychoeducational consensus checklist","year":2020,"lang":"en","type":"review","venue":"Annals of General Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Brain and Cognition Discovery Foundation; University Health Network","funders":"H. Lundbeck A/S","keywords":"Medicine; Psychiatry; Major depressive disorder; Antidepressant; Tolerability; Medical prescription; Depression (economics); Checklist; Geriatric psychiatry; Adverse effect; Psychology; Mood; Nursing; Internal medicine","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":[0.01832463,0.0007733525,0.002415574,0.003084789,0.0007462647,0.001042985,0.002619396,0.001424114,0.001688458],"category_scores_gemma":[0.02258895,0.0004232321,0.002339231,0.002095382,0.000494107,0.001260713,0.001892068,0.002248721,0.0004277095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234414,"about_ca_system_score_gemma":0.01186737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005369707,"about_ca_topic_score_gemma":0.01323881,"domain_scores_codex":[0.9915212,0.003762566,0.002498189,0.0002492845,0.001767971,0.0002006405],"domain_scores_gemma":[0.9896989,0.004215428,0.001685955,0.0002461126,0.003620466,0.0005331054],"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":[0.0001424697,0.0003171721,0.002109784,0.07421315,0.0008883015,0.0001807237,0.001183107,0.0004916132,0.0003773895,0.001793246,0.03689326,0.8814098],"study_design_scores_gemma":[0.001717065,0.0009587225,0.04585278,0.4034554,0.005339903,0.00264593,0.003702529,0.001958869,0.001269115,0.008417265,0.5243787,0.0003036649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01335804,0.8605176,0.02008422,0.06176812,0.004108238,0.02320015,0.002096602,0.0003457134,0.01452125],"genre_scores_gemma":[0.06958693,0.7412177,0.1505585,0.01282653,0.0008258315,0.01724192,0.00371489,0.00005928852,0.003968413],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01832463,"threshold_uncertainty_score":0.09691107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05275175899284964,"score_gpt":0.3712487271894804,"score_spread":0.3184969681966308,"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."}}