{"id":"W3036341959","doi":"10.1002/hbm.25095","title":"Automated classification of depression from structural brain measures across two independent community‐based cohorts","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Directorate for Biological Sciences; Centre for Cognitive Ageing and Cognitive Epidemiology; Age UK; Dr Mortimer and Theresa Sackler Foundation; University of Edinburgh; Medical Research Council Canada; Wellcome Trust","keywords":"Major depressive disorder; Cohort; Neuroimaging; Population; Psychology; Medical diagnosis; Medicine; Clinical psychology; Psychiatry; Internal medicine; Pathology; Cognition","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00069965,0.0002600813,0.0003843112,0.00009325165,0.001365916,0.000103471,0.0005202416,0.00009926978,0.0000574718],"category_scores_gemma":[0.009093994,0.0002618455,0.0001114942,0.0004117169,0.0003019866,0.0002573362,0.0003356533,0.0005620901,0.00001654612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016754,"about_ca_system_score_gemma":0.00004894506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004079925,"about_ca_topic_score_gemma":0.000270415,"domain_scores_codex":[0.9966482,0.001250135,0.0004759417,0.0005885233,0.0007010772,0.0003361256],"domain_scores_gemma":[0.9927768,0.00611215,0.0003677963,0.0005067301,0.0001192978,0.0001172531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005703799,0.00004238682,0.02569574,0.00005671668,0.00002432905,0.000006780019,0.004374677,0.0009901044,0.9637272,0.0003385886,0.004182599,0.0005038091],"study_design_scores_gemma":[0.001659006,0.00009210729,0.8750964,0.0001390957,0.00001190897,0.00000357083,0.00135065,0.04166849,0.07675493,0.001452868,0.001412426,0.0003585683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868168,0.00002626703,0.002153316,0.009222897,0.0001724278,0.0003993074,0.0001102904,0.0006662389,0.0004325096],"genre_scores_gemma":[0.9891365,4.116247e-7,0.0001665369,0.01042066,0.0001204917,0.00003030863,0.00006850585,0.00003306927,0.00002346731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8869723,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536361105312198,"score_gpt":0.3473339299462227,"score_spread":0.1936978194150029,"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."}}