{"id":"W4310461041","doi":"10.1002/mpr.1955","title":"White‐matter correlates of anxiety: The contribution of the corpus‐callosum to the study of anxiety and stress‐related disorders","year":2022,"lang":"en","type":"article","venue":"International Journal of Methods in Psychiatric Research","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Ministry of Health, British Columbia; Ministry of Health, State of Israel; Deutsche Forschungsgemeinschaft","keywords":"Corpus callosum; Psychology; Fractional anisotropy; Anxiety; White matter; Cognition; Diffusion MRI; Neuropathology; Clinical psychology; Neuroscience; Internal medicine; Medicine; Psychiatry; Magnetic resonance imaging","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":[],"consensus_categories":[],"category_scores_codex":[0.004579323,0.00007686332,0.000221023,0.0003309273,0.0001261866,0.00000939032,0.0007978603,0.00003086117,0.00005158156],"category_scores_gemma":[0.0005417556,0.00004118274,0.0001143621,0.001048521,0.0001803488,0.00003575996,0.0004169679,0.001011532,1.995402e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006943644,"about_ca_system_score_gemma":0.0001031381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006479167,"about_ca_topic_score_gemma":0.00001652246,"domain_scores_codex":[0.9968093,0.001186629,0.0007459314,0.0001426694,0.000984014,0.0001314603],"domain_scores_gemma":[0.9976081,0.0007892926,0.0005273098,0.0003273049,0.0007123713,0.00003559802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003974109,0.0006399059,0.980657,0.00000914702,0.00009578055,8.013455e-7,0.0009155094,0.001161528,0.000841783,0.001160776,0.001241126,0.01287924],"study_design_scores_gemma":[0.001893675,0.0008327942,0.9731681,0.00007691164,0.00007387947,0.0001560059,0.003554909,0.001232013,0.0006667709,0.01315604,0.005128945,0.00006000181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625889,0.0007949058,0.008249752,0.0265665,0.0004094489,0.001069713,0.00003278927,0.000003777515,0.0002842156],"genre_scores_gemma":[0.9910899,0.0007822449,0.007861583,0.0001043752,0.00004158892,0.00004174551,0.000001552175,0.00001059794,0.00006641389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.028501,"threshold_uncertainty_score":0.4394657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06260866962514129,"score_gpt":0.4869199667083841,"score_spread":0.4243112970832428,"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."}}