{"id":"W2157453960","doi":"10.1093/brain/awr099","title":"White matter damage in primary progressive aphasias: a diffusion tensor tractography study","year":2011,"lang":"en","type":"article","venue":"Brain","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; National Institute on Aging; National Institutes of Health; Canadian Centre for Applied Research in Cancer Control; Larry L. Hillblom Foundation","keywords":"White matter; Diffusion MRI; Primary progressive aphasia; Tractography; Medicine; Psychology; Neuroscience; Magnetic resonance imaging; Pathology; Radiology; Dementia; Frontotemporal dementia; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003829349,0.00040848,0.0002543244,0.001001599,0.0003242203,0.0002670275,0.0001708539,0.000382828,0.001073828],"category_scores_gemma":[0.001420629,0.0002233384,0.0002361752,0.0003303082,0.0005738137,0.0003071557,0.0003403945,0.0002129572,0.0002093045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265938,"about_ca_system_score_gemma":0.0002882267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004500362,"about_ca_topic_score_gemma":0.00517235,"domain_scores_codex":[0.9998306,0.0000335105,0.00002460892,0.0000495583,0.00003492996,0.00002679412],"domain_scores_gemma":[0.9995608,0.00009082703,0.0001460214,0.00006246542,0.00005602558,0.00008397836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007848979,0.0002060586,0.9440777,0.00006462791,0.0001763762,0.006531774,0.00165589,0.0002484572,0.03837781,0.0001129524,0.0001059466,0.007657534],"study_design_scores_gemma":[0.00001438854,0.0002121808,0.9929619,0.000003347825,0.00002194005,0.005811714,0.0001420974,0.0002635307,0.0004491626,0.00004936026,0.0000664727,0.0000038929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997191,0.00004194486,0.0001061141,0.000008762748,5.7328e-7,0.000007059212,0.00003230699,0.000002243155,0.00008192903],"genre_scores_gemma":[0.9996427,0.00002793634,0.0001719865,0.000004445888,0.000002313184,0.000005636904,0.00005604198,0.000001307195,0.00008761564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004500362,"threshold_uncertainty_score":0.008948326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06289204211024735,"score_gpt":0.3333487663495195,"score_spread":0.2704567242392722,"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."}}