{"id":"W4205608287","doi":"10.1162/netn_a_00233","title":"Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review","year":2022,"lang":"en","type":"review","venue":"Network Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Krembil Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Interpretability; Generalizability theory; Computer science; Machine learning; Artificial intelligence; Psychology; Developmental psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005942323,0.001342485,0.004462407,0.004775934,0.0002847959,0.001672136,0.001920578,0.001345953,0.003127544],"category_scores_gemma":[0.02854253,0.0007003386,0.005353217,0.004066044,0.0005907121,0.001398997,0.0009212506,0.001373882,0.0004322347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408919,"about_ca_system_score_gemma":0.005608699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005073736,"about_ca_topic_score_gemma":0.01396392,"domain_scores_codex":[0.9978257,0.0009645493,0.0005704053,0.0002448876,0.0003530238,0.00004144307],"domain_scores_gemma":[0.9727831,0.02468155,0.001216491,0.0002605701,0.0009454878,0.000112895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002063722,0.00004734987,0.001041756,0.4262713,0.008466512,0.00006796192,0.0001136173,0.001397827,0.0001409039,0.001722144,0.004159381,0.5563649],"study_design_scores_gemma":[0.0004393771,0.0006027851,0.0107101,0.7629845,0.06824,0.0008436568,0.0003086268,0.003114283,0.000512907,0.009807262,0.1422632,0.0001733615],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001703547,0.9988978,0.0004284611,0.0002324631,0.00003801837,0.00003061068,0.00007666201,0.000006693792,0.0001189519],"genre_scores_gemma":[0.003229425,0.99514,0.001195455,0.0001767176,0.000052836,0.00007296968,0.00009235437,0.000003676994,0.00003658681],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005942323,"threshold_uncertainty_score":0.03142643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4757087992216902,"score_gpt":0.4027782923406558,"score_spread":0.07293050688103442,"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."}}