{"id":"W4410594449","doi":"10.1093/braincomms/fcaf193","title":"Sensitivity of diffusion tensor imaging to regional mixed cerebrovascular pathology","year":2025,"lang":"en","type":"article","venue":"Brain Communications","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of British Columbia; The Scarborough Hospital; University of Toronto; Sunnybrook Health Science Centre; Simon Fraser University","funders":"Health Research; Heart and Stroke Foundation of Canada","keywords":"Diffusion MRI; Sensitivity (control systems); Medicine; Diffusion; Pathology; Magnetic resonance imaging; Radiology; Physics; Engineering","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":[0.007152335,0.0007276291,0.0006682768,0.001668646,0.0002768842,0.001303668,0.0004056059,0.0004649233,0.001633328],"category_scores_gemma":[0.03390802,0.0005262899,0.0007747783,0.0005326632,0.0007114506,0.0008043373,0.001058536,0.000556342,0.0003605713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089183,"about_ca_system_score_gemma":0.000214605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840523,"about_ca_topic_score_gemma":0.001421895,"domain_scores_codex":[0.9973617,0.001246829,0.0002423899,0.0005802562,0.0004117412,0.000157032],"domain_scores_gemma":[0.9676109,0.02090058,0.005726846,0.003073259,0.001935482,0.0007530024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009080942,0.00005015874,0.9680577,0.0001126804,0.001654781,0.0002009143,0.0002371781,0.003486094,0.01085005,0.0002371763,0.0002449394,0.01396044],"study_design_scores_gemma":[0.00000737713,0.0002474932,0.983779,0.00002551218,0.0002651331,0.0008246295,0.0001001915,0.01093743,0.002613705,0.0009214759,0.0002521918,0.00002587327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903237,0.0014204,0.006238317,0.0001538346,0.00003404997,0.00002512589,0.0003270716,0.0001079043,0.001369589],"genre_scores_gemma":[0.9989433,0.00007007306,0.000716397,0.00001984394,0.00001664365,0.000004615195,0.0001069184,0.00001286367,0.0001092919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007152335,"threshold_uncertainty_score":0.03782558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06520047307115506,"score_gpt":0.3761593914150825,"score_spread":0.3109589183439274,"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."}}