{"id":"W2989757082","doi":"10.1503/jpn.190044","title":"Brain structural correlates of alexithymia in patients with major depressive disorder","year":2020,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Alexithymia; Fusiform gyrus; Voxel-based morphometry; Psychology; Toronto Alexithymia Scale; Grey matter; Anterior cingulate cortex; Major depressive disorder; Neuroimaging; Gyrus; Internal medicine; Voxel; Brain size; Clinical psychology; Psychiatry; Neuroscience; Medicine; Magnetic resonance imaging; Functional magnetic resonance imaging; Cognition; White matter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268975,0.0002075227,0.0002521211,0.0006453198,0.000293949,0.0004403138,0.0001949943,0.0002718473,0.001355584],"category_scores_gemma":[0.001430446,0.0001716702,0.0001872151,0.0004147164,0.0003231714,0.000188103,0.0003534474,0.0002902505,0.0001207622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586737,"about_ca_system_score_gemma":0.0001338336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232213,"about_ca_topic_score_gemma":0.007504694,"domain_scores_codex":[0.9998411,0.00003653687,0.00002248161,0.00003830858,0.00003695219,0.00002456786],"domain_scores_gemma":[0.9993885,0.0001123275,0.0003340109,0.00003150466,0.00005462061,0.0000790233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215574,0.00002290066,0.9946352,0.00001788032,0.00009157048,0.000222317,0.0001480938,0.00006519518,0.002008815,0.00002386391,0.00008101886,0.002461588],"study_design_scores_gemma":[0.000003187794,0.0000212051,0.9996091,0.000001692582,0.000008290491,0.0002135596,0.00003968013,0.00004303062,0.00002772226,0.00001381418,0.00001809708,7.123105e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995408,0.0001029152,0.00004105327,0.00002684018,0.000002025285,0.000004430194,0.00007372259,0.000002061423,0.0002062361],"genre_scores_gemma":[0.9997846,0.00003633574,0.00005141347,0.000008328942,0.000003070705,0.000002372379,0.00008319381,5.952049e-7,0.00003005667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003232213,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008096942656393394,"score_gpt":0.2456433597173395,"score_spread":0.2375464170609461,"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."}}