{"id":"W2592582590","doi":"10.1159/000456710","title":"White Matter Disruption and Connected Speech in Non-Fluent and Semantic Variants of Primary Progressive Aphasia","year":2017,"lang":"en","type":"article","venue":"Dementia and Geriatric Cognitive Disorders Extra","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; Sunnybrook Health Science Centre; Mount Sinai Hospital; Toronto Western Hospital; Hôpital du Sacré-Cœur de Montréal; University of Ottawa; Sinai Health System; Baycrest Hospital; Université de Montréal; Health Sciences Centre; University Health Network; University of Toronto; Heart and Stroke Foundation; Toronto Rehabilitation Institute","funders":"University of Toronto; Eli Lilly Canada; Morris Kerzner Memorial Fund; Canadian Institutes of Health Research; Toronto Rehabilitation Institute; Sunnybrook Research Institute","keywords":"Primary progressive aphasia; Diffusion MRI; White matter; Psychology; Natural language processing; Aphasia; Artificial intelligence; Computer science; Audiology; Medicine; Cognitive psychology; Pathology; Frontotemporal dementia","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":[0.0004615209,0.000525546,0.0002486361,0.001927632,0.0003361768,0.0004497748,0.0001624699,0.0004034504,0.001094823],"category_scores_gemma":[0.002569357,0.0001836865,0.0002315343,0.0004667048,0.0009293234,0.0003955589,0.0005868795,0.0002462838,0.0001383638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718627,"about_ca_system_score_gemma":0.0001861704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017049,"about_ca_topic_score_gemma":0.003203747,"domain_scores_codex":[0.9996722,0.00007260329,0.00004759334,0.0001145334,0.00006423902,0.00002887287],"domain_scores_gemma":[0.9988347,0.000389957,0.0004856646,0.0001028222,0.00008258421,0.0001042199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002008912,0.0002694084,0.7456096,0.0002452648,0.0004019257,0.01079575,0.008350312,0.0007082624,0.1901214,0.0004293887,0.0001908857,0.04086882],"study_design_scores_gemma":[0.000007365953,0.0001640369,0.9936798,0.000006502453,0.00002136955,0.003622387,0.000461217,0.0003000129,0.001460433,0.0002194529,0.00005027743,0.00000706872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999543,0.00004918221,0.0002449755,0.000004644918,0.000001205053,0.000006420576,0.00002170819,0.000004500206,0.0001245007],"genre_scores_gemma":[0.9994231,0.0000331955,0.0003793503,0.000005298415,0.000003173386,0.00000784701,0.00006871069,0.000003047526,0.0000761042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001927632,"threshold_uncertainty_score":0.003662527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718247404008407,"score_gpt":0.3096332177131786,"score_spread":0.2924507436730946,"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."}}