{"id":"W4409973087","doi":"10.1177/07067437251337603","title":"Predicting Relapse of Depressive Episodes During Maintenance Treatment: The Canadian Biomarker Integration Network in Depression (CAN-BIND) Wellness Monitoring in Major Depressive Disorder Study: Prédire la rechute d’épisodes dépressifs pendant le traitement d’entretien : Une étude de suivi du bien-être dans les troubles dépressifs majeurs du Réseau canadien d’intégration des biomarqueurs pour la dépression (CAN-BIND)","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Mental Health Research Topics","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary; University of Toronto; Dalhousie University; McMaster University; Queen's University; University of British Columbia","funders":"Janssen Pharmaceuticals; Ontario Brain Institute","keywords":"Depression (economics); Major depressive disorder; Biomarker; Medicine; Observational study; Rating scale; Psychiatry; Internal medicine; Psychology; Mood","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001474478,0.0005865652,0.0007936036,0.0006233951,0.001164654,0.0008950582,0.001377516,0.0007688444,0.0008881752],"category_scores_gemma":[0.002914179,0.0003108285,0.0007129755,0.001408696,0.0002527705,0.0003357319,0.0009440238,0.001041906,0.0001496688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044331,"about_ca_system_score_gemma":0.004028326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6569007,"about_ca_topic_score_gemma":0.7628697,"domain_scores_codex":[0.99925,0.0001376572,0.0000541463,0.0001541627,0.0002535956,0.0001503272],"domain_scores_gemma":[0.998806,0.00008336958,0.0002945188,0.00007844757,0.0004448021,0.0002928355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001070256,0.0002161882,0.9862064,0.00009145016,0.0004151703,0.00002354925,0.0001693248,0.0001470867,0.0001788635,0.00004198157,0.001708215,0.009731631],"study_design_scores_gemma":[0.0001074822,0.00007775072,0.9987105,0.00002427792,0.0001293193,0.00001979021,0.00007380635,0.0003479109,0.00003053555,0.00002203807,0.000447796,0.000008887616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904647,0.001623295,0.0002570158,0.0003183254,0.00003357228,0.0003692442,0.005879221,0.00001459259,0.001040109],"genre_scores_gemma":[0.9913774,0.0006678596,0.000828331,0.0001524101,0.0000245709,0.0002409935,0.006183575,0.000005456533,0.0005194155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430993,"threshold_uncertainty_score":0.6902397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018473474467469,"score_gpt":0.3052020597516278,"score_spread":0.2850173250069531,"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."}}