{"id":"W2151177175","doi":"10.1016/j.pscychresns.2015.09.002","title":"Characterising intra- and inter-intrinsic network synchrony in combat-related post-traumatic stress disorder","year":2015,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Hospital for Sick Children; University of Toronto","funders":"Defence Research and Development Canada","keywords":"Magnetoencephalography; Default mode network; Salience (neuroscience); Psychology; Neuroscience; Traumatic stress; Audiology; Functional connectivity; Clinical psychology; Electroencephalography; Medicine","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":[0.000159092,0.0001421266,0.00009348692,0.0005479358,0.0001211003,0.0001954826,0.0001133458,0.0001192623,0.001096673],"category_scores_gemma":[0.0007272498,0.00008175264,0.00006867389,0.0002883798,0.0001863382,0.000211316,0.0002692413,0.0001193268,0.00006722379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199268,"about_ca_system_score_gemma":0.00007674035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040281,"about_ca_topic_score_gemma":0.002824725,"domain_scores_codex":[0.9999467,0.00001351127,0.000004639058,0.00001469532,0.000008492657,0.00001191072],"domain_scores_gemma":[0.9998201,0.00005569555,0.00007447632,0.0000119304,0.00001712065,0.0000206339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0011743,0.0001471886,0.7263566,0.0002748586,0.0002777001,0.0009636715,0.003082533,0.001511241,0.2003488,0.0008140476,0.0004051104,0.06464386],"study_design_scores_gemma":[0.000003379939,0.00007422463,0.9971247,0.000006952847,0.00001540838,0.0003544351,0.0002799595,0.000652593,0.001150742,0.0002402168,0.00009398579,0.000003312704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990376,0.00009643091,0.0005238657,0.0000147075,0.000001051981,0.000004670903,0.00005809572,0.000003313935,0.0002601696],"genre_scores_gemma":[0.9993458,0.0001090224,0.0003504873,0.000005894731,0.000003729283,0.000007774776,0.0001036125,0.000002001448,0.00007157315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001096673,"threshold_uncertainty_score":0.003668725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0751437091131619,"score_gpt":0.3442246660702526,"score_spread":0.2690809569570908,"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."}}