{"id":"W2948678705","doi":"10.1186/s13063-019-3390-8","title":"A randomised controlled trial assessing the use of citalopram, sertraline, fluoxetine and mirtazapine in preventing relapse in primary care patients who are taking long-term maintenance antidepressants (ANTLER: ANTidepressants to prevent reLapse in dEpRession): study protocol for a randomised controlled trial","year":2019,"lang":"en","type":"article","venue":"Trials","topic":"Treatment of Major Depression","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Health Technology Assessment Programme; University College London; National Institute for Health and Care Research","keywords":"Mirtazapine; Medicine; Sertraline; Citalopram; Venlafaxine; Fluoxetine; Placebo; Nefazodone; Randomized controlled trial; Depression (economics); Adverse effect; Anxiety; Clinical trial; Internal medicine; Psychiatry; Antidepressant; Alternative 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":[0.02355932,0.00572649,0.01249302,0.001606197,0.002102785,0.004140166,0.00314403,0.007526753,0.04352546],"category_scores_gemma":[0.03199162,0.002759288,0.005836081,0.002302706,0.003599821,0.003805083,0.001657766,0.006568654,0.006201563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004050506,"about_ca_system_score_gemma":0.009255569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687539,"about_ca_topic_score_gemma":0.005459787,"domain_scores_codex":[0.9794344,0.01295997,0.002392969,0.001806423,0.001881533,0.001524661],"domain_scores_gemma":[0.9889081,0.003542981,0.002987834,0.001061505,0.001582203,0.001917366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9759157,0.002494442,0.0002599931,0.008992343,0.002089076,0.00006149887,0.00009159672,0.0003161155,0.0005430428,0.0006052,0.002400086,0.006231007],"study_design_scores_gemma":[0.9895315,0.00699368,0.0002431607,0.0004620937,0.0007203661,0.00001339767,0.00001714546,0.0002330146,0.00007131005,0.0002167354,0.001478101,0.00001945988],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.02928453,0.00354049,0.002172177,0.001068449,0.002457106,0.9544713,0.00380255,0.0002554463,0.002947961],"genre_scores_gemma":[0.03466075,0.001862495,0.004353737,0.001129896,0.0005100773,0.953456,0.001152482,0.00002648409,0.002848135],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04352546,"threshold_uncertainty_score":0.1456072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07172741887935986,"score_gpt":0.3877444587641084,"score_spread":0.3160170398847486,"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."}}