{"id":"W4390194918","doi":"10.1002/alz.080038","title":"White Matter Correlates of Speech in Cerebrovascular Disease","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Nova Scotia Health Authority; Baycrest Hospital; Robarts Clinical Trials; Western University","funders":"","keywords":"Fractional anisotropy; White matter; Uncinate fasciculus; Hyperintensity; Diffusion MRI; Fasciculus; Psychology; Audiology; Medicine; Magnetic resonance imaging; Neuroscience; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005130238,0.0003424418,0.0003245924,0.001602822,0.0005704233,0.0008417214,0.0002940707,0.000401634,0.003165669],"category_scores_gemma":[0.00308703,0.0001393914,0.0001489356,0.00119737,0.0005112713,0.0003097154,0.0004851958,0.0003358424,0.0003334774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000513288,"about_ca_system_score_gemma":0.0004912302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435206,"about_ca_topic_score_gemma":0.01470529,"domain_scores_codex":[0.9997277,0.00004840539,0.00003042441,0.00009845859,0.00006169435,0.00003335813],"domain_scores_gemma":[0.9978203,0.0004760344,0.001011578,0.0001294859,0.0004054625,0.0001571688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004708238,0.00007239319,0.9808055,0.0001182893,0.0001609253,0.0009319792,0.001280263,0.0002231633,0.004594059,0.0001628988,0.0004616457,0.0107181],"study_design_scores_gemma":[0.000002219027,0.00002745158,0.9987394,0.00001076525,0.00002006949,0.0002801506,0.0001869665,0.0001657547,0.0002605852,0.0001668293,0.0001350701,0.000004792046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974669,0.0006947272,0.00008467336,0.00007397014,0.000006806164,0.000007173929,0.0004541019,0.000007194078,0.001204405],"genre_scores_gemma":[0.9991416,0.0001988139,0.0001092134,0.00001245895,0.00002156527,0.0000053757,0.0002652492,0.000002574099,0.0002431335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435206,"threshold_uncertainty_score":0.02853703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04595456001111764,"score_gpt":0.3227140425372381,"score_spread":0.2767594825261205,"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."}}