{"id":"W4290843682","doi":"10.3233/jad-220255","title":"DTI Connectometry Analysis Reveals White Matter Changes in Cognitively Impaired World Trade Center Responders at Midlife","year":2022,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Occupational Safety and Health; National Institute on Aging","keywords":"World trade center; Center (category theory); Psychology; Functional connectivity; White matter; White (mutation); Developmental psychology; Neuroscience; Medicine; Political science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001806708,0.0002200398,0.0001306974,0.0009274671,0.0003520727,0.0002847421,0.0001954506,0.0003150026,0.001432924],"category_scores_gemma":[0.0006538903,0.0001232659,0.000139361,0.0004398771,0.0001974678,0.0001780693,0.0002396396,0.0002023433,0.0003016942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845923,"about_ca_system_score_gemma":0.0001226362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006676191,"about_ca_topic_score_gemma":0.008794126,"domain_scores_codex":[0.9999477,0.00000848861,0.000005538302,0.00001611045,0.000007915129,0.00001436059],"domain_scores_gemma":[0.9997101,0.00002183466,0.0001662579,0.00002067769,0.00003384535,0.00004721367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002692024,0.00004186499,0.9888512,0.00001685034,0.00005491176,0.0005495983,0.0004849602,0.0001083372,0.006309507,0.00003006851,0.0002568377,0.003026613],"study_design_scores_gemma":[0.000001520583,0.00003743403,0.9990915,0.000003342675,0.000005079439,0.0003354167,0.0002211747,0.00008581476,0.0001451917,0.00001138874,0.00006057426,0.000001565002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996768,0.00003297156,0.00002664153,0.00001368309,0.000001007159,0.000002646446,0.0001362814,0.000002186948,0.000107872],"genre_scores_gemma":[0.9994299,0.00003423674,0.00006733405,0.00001186518,0.000002617403,0.000005432009,0.0003197735,0.000001633778,0.000127284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006676191,"threshold_uncertainty_score":0.01327467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0809494898442891,"score_gpt":0.3723410738453398,"score_spread":0.2913915840010507,"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."}}