{"id":"W4288420774","doi":"10.1016/j.schres.2022.07.012","title":"Greater individual variability in functional brain activity during working memory performance in Schizophrenia Spectrum Disorders (SSD)","year":2022,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Centre for Addiction and Mental Health; Brain and Behavior Research Foundation","keywords":"Schizophrenia (object-oriented programming); Brain activity and meditation; Neuroimaging; Working memory; Task (project management); Psychology; Cognition; Functional connectivity; Audiology; Schizophrenia spectrum; Neuroscience; Medicine; Psychosis; Psychiatry; Electroencephalography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009452985,0.0003947053,0.0004527783,0.001822058,0.002003959,0.0001636826,0.0009351824,0.0001240299,0.0008344947],"category_scores_gemma":[0.008489824,0.0004353489,0.0001347755,0.004193944,0.0006016114,0.0006417957,0.002496032,0.003761016,0.00008929074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418533,"about_ca_system_score_gemma":0.000549979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002799748,"about_ca_topic_score_gemma":0.001796415,"domain_scores_codex":[0.9892047,0.004216452,0.000549856,0.001838388,0.002682234,0.001508342],"domain_scores_gemma":[0.9901396,0.008762246,0.0001221795,0.0007777708,0.00003922916,0.0001589866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0465746,0.002932176,0.7756377,0.0003578335,0.00009951278,0.0004012544,0.00415365,0.02103717,0.09864084,0.007000505,0.001470615,0.04169418],"study_design_scores_gemma":[0.004900835,0.0002686744,0.9709017,0.00004554728,0.000004015366,0.00004779107,0.0002810386,0.002521084,0.01241558,0.007639215,0.0004583564,0.0005162088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814286,0.00003725873,0.00001466954,0.01480847,0.0007004248,0.0009284311,0.00004258788,0.0001298027,0.001909823],"genre_scores_gemma":[0.9979859,0.00002031617,0.00007119411,0.0002336291,0.0002744348,0.0008157758,0.000007571779,0.00006120557,0.0005299732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195264,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07528980212307902,"score_gpt":0.2985363543961603,"score_spread":0.2232465522730813,"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."}}