{"id":"W4407933161","doi":"10.1016/j.brs.2024.12.1039","title":"Exploring the Role of Symptom Networks in Predicting Treatment Response in Depression: A Plan for Network Analysis","year":2025,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Depression (economics); Psychology; Plan (archaeology); Medicine; Clinical psychology; Geography; Economics","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":[0.01293389,0.001362017,0.001886273,0.003033445,0.001337923,0.004565301,0.001675576,0.001073837,0.004791225],"category_scores_gemma":[0.03465371,0.0004843894,0.00310403,0.002909251,0.0007251418,0.004737336,0.001381502,0.002537594,0.0003826832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444326,"about_ca_system_score_gemma":0.002973608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01602372,"about_ca_topic_score_gemma":0.02174255,"domain_scores_codex":[0.9955167,0.003528778,0.0001531748,0.00043695,0.0001469005,0.0002174292],"domain_scores_gemma":[0.9731365,0.0217407,0.001202188,0.00131519,0.001675151,0.0009302435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001794544,0.001258136,0.8448342,0.0006134165,0.005026462,0.000204621,0.0007034854,0.01955818,0.001521409,0.006286955,0.003680294,0.1145183],"study_design_scores_gemma":[0.0004695891,0.002147651,0.5069624,0.0005666545,0.006202677,0.0004338824,0.00485382,0.3698898,0.001784289,0.1006293,0.005862756,0.0001972212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.7930071,0.007244842,0.156857,0.0273517,0.0004362146,0.001823239,0.005248583,0.0004452122,0.007586214],"genre_scores_gemma":[0.9384742,0.001178665,0.0558366,0.0006376196,0.000261309,0.0007235127,0.001570525,0.00003838557,0.001279185],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01602372,"threshold_uncertainty_score":0.06840181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157888490004654,"score_gpt":0.4235191021077589,"score_spread":0.3077302531072936,"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."}}