{"id":"W4407030709","doi":"10.1016/j.pscychresns.2025.111958","title":"Correlation study between the microstructural abnormalities of medial prefrontal cortex and white matter hyperintensities with mild cognitive impairment patients: A diffusion kurtosis imaging study","year":2025,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperintensity; Kurtosis; White matter; Prefrontal cortex; Psychology; Diffusion MRI; Cognitive impairment; Correlation; Audiology; Neuroscience; Cognition; Medicine; Magnetic resonance imaging; Radiology","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":[0.0004285288,0.0004389482,0.0003508864,0.00131054,0.0003548125,0.0003623297,0.0002097107,0.0004345839,0.001362974],"category_scores_gemma":[0.001830391,0.0003005175,0.0003280975,0.0006297718,0.0002392462,0.0004098674,0.0003371493,0.0002949875,0.0002594361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778837,"about_ca_system_score_gemma":0.0002098573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436088,"about_ca_topic_score_gemma":0.001476288,"domain_scores_codex":[0.9997615,0.00003302596,0.00004861447,0.00008169415,0.00004412128,0.00003107332],"domain_scores_gemma":[0.9990041,0.0001544949,0.000453383,0.00005938861,0.0001493658,0.0001793417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000280949,0.00006121811,0.9957219,0.00002717294,0.0000826426,0.0006304695,0.0001268287,0.00002899764,0.001261378,0.00001254085,0.00006038425,0.001705457],"study_design_scores_gemma":[0.00001031152,0.0002419428,0.9967114,0.000004087941,0.00004538339,0.002324658,0.0001386243,0.0001270022,0.0002284369,0.00002644724,0.0001360228,0.000005732488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993662,0.0002584701,0.00008518221,0.00001417916,0.000003299029,0.0000110209,0.0001072965,0.00000195896,0.0001522798],"genre_scores_gemma":[0.9993517,0.0001145478,0.0001563287,0.00001039716,0.00001556259,0.00001146465,0.0002149423,0.000001223089,0.0001238421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001436088,"threshold_uncertainty_score":0.004559636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644447327347754,"score_gpt":0.3656877081897759,"score_spread":0.3292432349162984,"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."}}