{"id":"W3027721552","doi":"10.1093/schbul/sbaa030.480","title":"M168. CLINICAL-ANATOMICAL PHENOTYPES OF SCHIZOPHRENIA","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Schizophrenia (object-oriented programming); Brain size; Voxel-based morphometry; Neuropsychology; Neuroimaging; Phenotype; Magnetic resonance imaging; Cognition; Multivariate analysis; Psychology; Psychosis; Neuroscience; Pathology; Medicine; Internal medicine; Biology; Psychiatry; Radiology; Genetics; White matter","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":[0.0005924041,0.001004043,0.000322281,0.000980104,0.0005391936,0.0004386072,0.0003694343,0.0005271127,0.006669648],"category_scores_gemma":[0.00259991,0.0001892524,0.000315252,0.0007278711,0.0005327772,0.0002736544,0.0008287106,0.0004000932,0.0005220504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003196238,"about_ca_system_score_gemma":0.0006574058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589793,"about_ca_topic_score_gemma":0.003279928,"domain_scores_codex":[0.9995908,0.0001162577,0.00005882446,0.0001117176,0.00008857335,0.00003381147],"domain_scores_gemma":[0.9979096,0.0002790189,0.001372604,0.0001047251,0.0001377266,0.0001963615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00104049,0.00008460951,0.9705471,0.0000871947,0.0001009687,0.001608821,0.0003651236,0.0004820303,0.01559151,0.0004696211,0.0007319798,0.008890414],"study_design_scores_gemma":[0.00002369882,0.0001115848,0.995095,0.00001809272,0.00002074568,0.002937003,0.0001548607,0.0004261548,0.0004029227,0.0005532872,0.0002479219,0.000008862969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976386,0.000106896,0.0004109115,0.0001922503,0.000008614492,0.00001818159,0.0009170849,0.00002111178,0.0006864332],"genre_scores_gemma":[0.9986827,0.00002711051,0.0005214494,0.00002667575,0.0000107883,0.00001962107,0.0005517432,0.00001030814,0.0001496026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006669648,"threshold_uncertainty_score":0.02231216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05692004493010784,"score_gpt":0.2914045696485097,"score_spread":0.2344845247184019,"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."}}