{"id":"W3018025842","doi":"10.1016/j.nicl.2020.102262","title":"Classifying heterogeneous presentations of PTSD via the default mode, central executive, and salience networks with machine learning","year":2020,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; St Joseph's Health Care; Homewood Research Institute; Canadian Institute for Military and Veteran Health Research; St. Joseph’s Healthcare Hamilton; Western University; Lawson Health Research Institute; McMaster University","funders":"Canadian Institute for Military and Veteran Health Research; Horizon 2020; Canadian Institutes of Health Research; Mitacs; Universität Wien; General Dynamics Land Systems; European Commission; International Business Machines Corporation","keywords":"Default mode network; Derealization; Functional connectivity; Psychology; Neuroimaging; Insula; Neuropsychology; Salience (neuroscience); Functional neuroimaging; Psychopathology; Dissociative; Neurocognitive; Clinical psychology; Cognition; Neuroscience; Depersonalization","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"],"consensus_categories":[],"category_scores_codex":[0.0001808421,0.0001642866,0.0002651044,0.00002073766,0.0003560112,0.00005031597,0.000243013,0.00004948327,0.000009238126],"category_scores_gemma":[0.009321801,0.000114359,0.00008817107,0.0002897456,0.0008280188,0.0001544168,0.0002857193,0.0006868973,0.000003668089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000513334,"about_ca_system_score_gemma":0.00003000051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002410241,"about_ca_topic_score_gemma":0.00002845877,"domain_scores_codex":[0.9977509,0.000602924,0.0003759269,0.0006672715,0.0003102974,0.0002926789],"domain_scores_gemma":[0.989617,0.00978468,0.0001926427,0.000210447,0.00005469155,0.0001405632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001638628,0.0004318506,0.6565776,0.00008086991,0.00008618934,0.0003657146,0.001809113,0.2925175,0.03519085,0.0005382422,0.002881657,0.007881671],"study_design_scores_gemma":[0.001004023,0.001009865,0.0972199,0.00001527197,0.00005686719,0.0001249153,0.0001015204,0.8941517,0.003204532,0.00006372084,0.002828193,0.0002195277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372212,0.0001528799,0.0480664,0.01282665,0.0002984179,0.0004868681,0.00002080022,0.0001431205,0.000783662],"genre_scores_gemma":[0.9936693,0.0001659967,0.0002322458,0.00570619,0.0001370221,0.0000125553,0.000001581848,0.00002372975,0.0000513517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6016341,"threshold_uncertainty_score":0.9990231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09830526618897212,"score_gpt":0.3397297091613916,"score_spread":0.2414244429724195,"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."}}