{"id":"W3047459636","doi":"10.1093/schbul/sbaa097","title":"Latent Clinical-Anatomical Dimensions of Schizophrenia","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada First Research Excellence Fund; McGill University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Natural Sciences and Engineering Research Council of Canada","keywords":"Schizophrenia (object-oriented programming); Neuropsychology; Neuroimaging; Cognition; Default mode network; Psychology; Voxel-based morphometry; Neuroscience; Magnetic resonance imaging; Clinical psychology; Medicine; Psychiatry; Radiology","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":[0.001622102,0.0005290683,0.0003784178,0.0009706014,0.0003505963,0.0005859235,0.0002824111,0.0003000034,0.001023698],"category_scores_gemma":[0.005680752,0.000233376,0.000547099,0.0007102177,0.0009556841,0.0005004863,0.0012202,0.0006057399,0.00007938724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006045504,"about_ca_system_score_gemma":0.001146251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003707936,"about_ca_topic_score_gemma":0.006036047,"domain_scores_codex":[0.9988544,0.000489735,0.0001094755,0.0002445631,0.0001926038,0.0001092322],"domain_scores_gemma":[0.99767,0.0006021408,0.0009337825,0.0004825629,0.0001573401,0.0001542212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004418562,0.0001286508,0.9593863,0.00004681055,0.0004203884,0.0001643359,0.0006793526,0.004765446,0.01152552,0.003692977,0.0002498288,0.01849858],"study_design_scores_gemma":[0.00001508334,0.00008475797,0.9852195,0.000009462241,0.00004321313,0.0002042705,0.0001584997,0.008633955,0.0004032193,0.005084244,0.0001263934,0.0000173774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932549,0.0000612986,0.00594737,0.0001330263,0.000002430708,0.00002670913,0.0003148268,0.0000201944,0.000239223],"genre_scores_gemma":[0.9986358,0.00002052602,0.000992005,0.000007380276,0.000002376291,0.00002188103,0.0002845375,0.000004240262,0.00003122481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003707936,"threshold_uncertainty_score":0.008578539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06300999874438004,"score_gpt":0.2926386343387425,"score_spread":0.2296286355943625,"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."}}