{"id":"W2428473372","doi":"10.1371/journal.pone.0157218","title":"Progression of Microstructural Degeneration in Progressive Supranuclear Palsy and Corticobasal Syndrome: A Longitudinal Diffusion Tensor Imaging Study","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Tau Consortium; National Institute on Aging; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Progressive supranuclear palsy; Fractional anisotropy; Diffusion MRI; Corticobasal degeneration; Medicine; Tauopathy; Pathology; White matter; Magnetic resonance imaging; Radiology; Neurodegeneration; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001122779,0.0003418965,0.0002669267,0.00081077,0.0003042464,0.0003470423,0.0002065101,0.000442326,0.0005579535],"category_scores_gemma":[0.002091335,0.0002372948,0.0004173934,0.0003123468,0.0003120364,0.0004430339,0.0003329977,0.0003718776,0.0001916523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075149,"about_ca_system_score_gemma":0.0003425809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046133,"about_ca_topic_score_gemma":0.002473973,"domain_scores_codex":[0.9997305,0.00007361446,0.00003727477,0.00006554291,0.00005177785,0.00004131761],"domain_scores_gemma":[0.9988617,0.0001438319,0.0005157249,0.000087971,0.0001859641,0.000204785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002171731,0.0003527655,0.9783841,0.00004082383,0.0002984536,0.0008138164,0.0004917477,0.0002539236,0.009021939,0.0000338263,0.00007509332,0.008061701],"study_design_scores_gemma":[0.00002084739,0.001057456,0.997004,0.000005854197,0.00006909581,0.0009816937,0.00007032555,0.0003381929,0.0003161951,0.00002534877,0.0001045767,0.000006439126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992933,0.0003124273,0.0001479718,0.00001532651,0.000002130163,0.00001364213,0.00006710357,0.000004219557,0.0001438686],"genre_scores_gemma":[0.9994106,0.00009706352,0.0001550078,0.000009896201,0.000006708121,0.00001021663,0.0001790487,0.000001652897,0.0001298186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003046133,"threshold_uncertainty_score":0.006056786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06790541763405622,"score_gpt":0.3297950096081705,"score_spread":0.2618895919741143,"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."}}