{"id":"W4406748195","doi":"10.21037/qims-24-1591","title":"Association of diffusion tensor imaging along the perivascular space index with cognitive impairment in type 2 diabetes mellitus","year":2025,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffusion MRI; Type 2 Diabetes Mellitus; Index (typography); Association (psychology); Cognitive impairment; Medicine; Diabetes mellitus; Diffusion; Cognition; Pathology; Psychology; Computer science; Psychiatry; Radiology; Physics; Magnetic resonance imaging; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178577,0.0001498307,0.0003870085,0.0004046168,0.00009275409,0.0000224125,0.00007251051,0.00002219266,0.00001499523],"category_scores_gemma":[0.002648077,0.00009569717,0.00003876804,0.0008834457,0.0003215227,0.0001571523,0.00004640629,0.0002056283,0.00000102646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007562788,"about_ca_system_score_gemma":0.00007590975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006169369,"about_ca_topic_score_gemma":0.0001015962,"domain_scores_codex":[0.9984543,0.0003063479,0.0003320713,0.0003063707,0.000321463,0.0002794523],"domain_scores_gemma":[0.9961995,0.003399041,0.0001454597,0.0001021925,0.0001224932,0.00003131407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001199277,0.00006605341,0.9878597,0.00007420465,0.0000115152,0.00003206573,0.002072118,0.00001089677,0.007100742,0.0003628484,0.0003486454,0.001941295],"study_design_scores_gemma":[0.001008596,0.00007224012,0.979732,0.001839985,0.00004251712,0.000003155569,0.005356483,0.00830787,0.002931019,0.0003612784,0.0002134812,0.0001314016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874535,0.004570972,0.0001800962,0.007064488,0.0001480541,0.0002370439,0.000001783949,0.00001403918,0.0003299998],"genre_scores_gemma":[0.9973495,0.00135407,0.00001988823,0.001175023,0.00001775426,0.00001330586,0.000002556561,0.000009729361,0.00005818735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009895963,"threshold_uncertainty_score":0.3902417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771828136105048,"score_gpt":0.2881348352054436,"score_spread":0.2704165538443932,"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."}}