{"id":"W4410717113","doi":"10.1016/j.jad.2025.119460","title":"Strategies for antidepressant medications in the maintenance phase: A systematic review and network Meta-analysis","year":2025,"lang":"en","type":"review","venue":"Journal of Affective Disorders","topic":"Treatment of Major Depression","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders","funders":"Shanghai Clinical Research Center for Mental Health; Chinese Aeronautical Establishment; National Natural Science Foundation of China","keywords":"Meta-analysis; Antidepressant; Phase (matter); MEDLINE; Medicine; Psychology; Psychiatry; Internal medicine; Chemistry; 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":[0.007952784,0.002762698,0.01790585,0.003711334,0.0005538379,0.002625593,0.002094241,0.001928835,0.005026556],"category_scores_gemma":[0.0162817,0.001335803,0.02674842,0.003977865,0.0006274003,0.002111657,0.001656028,0.002358942,0.0003831793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701509,"about_ca_system_score_gemma":0.002785117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008251824,"about_ca_topic_score_gemma":0.02474796,"domain_scores_codex":[0.9952467,0.002034069,0.001353531,0.0006437752,0.000524771,0.0001972256],"domain_scores_gemma":[0.9921383,0.005782272,0.001313026,0.0002424954,0.0004010109,0.0001228318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004654011,0.00007606092,0.003008156,0.3284259,0.6349325,0.00009879353,0.00009496876,0.0006650745,0.0002229744,0.0001952949,0.0006530187,0.0269732],"study_design_scores_gemma":[0.002176885,0.0002505037,0.002897659,0.019796,0.9727553,0.00006528259,0.00005730903,0.0002723361,0.0000719599,0.0002593543,0.001369485,0.00002798264],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004368445,0.9942285,0.000492156,0.0001177859,0.0001219891,0.0002203695,0.0002418009,0.00002032988,0.0001887108],"genre_scores_gemma":[0.1783344,0.8156954,0.003057894,0.0009867998,0.000190181,0.0007254477,0.0005947539,0.00002825249,0.0003868451],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01790585,"threshold_uncertainty_score":0.04205883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384373059679998,"score_gpt":0.4149692274254028,"score_spread":0.3611254968286028,"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."}}