{"id":"W3009680067","doi":"10.1016/j.pnpbp.2020.109911","title":"Cortical thickness and formal thought disorder in schizophrenia: An ultra high-field network-based morphometry study","year":2020,"lang":"en","type":"article","venue":"Progress in Neuro-Psychopharmacology and Biological Psychiatry","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"NIHR Nottingham Biomedical Research Centre; Janssen Canada; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Academic Medical Organization of Southwestern Ontario; Sunovion; University of Nottingham; Health Research; Wellcome Trust; Chrysalis","keywords":"Thought disorder; Schizophrenia (object-oriented programming); Psychology; Neuroscience; Psychiatry; Cognition","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":[0.0005725395,0.0003563087,0.0002052909,0.001164987,0.0003710744,0.0004744579,0.0003694803,0.0002683728,0.001249155],"category_scores_gemma":[0.001304291,0.0002724791,0.0002372527,0.0008237314,0.0005431085,0.0005455467,0.0004926463,0.0003690923,0.0001003501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236604,"about_ca_system_score_gemma":0.0002552538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006503391,"about_ca_topic_score_gemma":0.007428443,"domain_scores_codex":[0.999864,0.00004422868,0.00001000279,0.00003422333,0.00002332887,0.00002419255],"domain_scores_gemma":[0.9992868,0.0002018718,0.0002618272,0.00009740561,0.00005579245,0.00009637635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001810245,0.0002597917,0.9693149,0.00003390157,0.0003974086,0.0006892611,0.000736455,0.001525727,0.01190717,0.0004270622,0.0001875665,0.01271064],"study_design_scores_gemma":[0.000008849335,0.00006737059,0.9973989,0.000002685598,0.00003887274,0.000462509,0.0001673074,0.001326288,0.000259154,0.0002209308,0.00004083416,0.000006369337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996088,0.00003458824,0.0001686617,0.00001153978,0.000001275376,0.000002855999,0.00005869708,0.000003405779,0.0001100996],"genre_scores_gemma":[0.9996719,0.00002337926,0.0001571568,0.0000041114,0.000003056686,0.000002703831,0.00004763974,0.000002517086,0.00008747152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006503391,"threshold_uncertainty_score":0.01293111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730586207303042,"score_gpt":0.3379943559572266,"score_spread":0.3106884938841962,"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."}}