{"id":"W1766843284","doi":"10.1148/radiol.2015150486","title":"Is the Relationship between Cortical and White Matter Pathologic Changes in Multiple Sclerosis Spatially Specific? A Multimodal 7-T and 3-T MR Imaging Study with Surface and Tract-based Analysis","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Fondation pour l'Aide à la Recherche sur la Sclérose en Plaques; Biogen; IC Design Education Center; National Multiple Sclerosis Society","keywords":"White matter; Diffusion MRI; Cortex (anatomy); Medicine; Cingulum (brain); Fractional anisotropy; Corticospinal tract; Neuroscience; Pyramidal tracts; Magnetic resonance imaging; Anatomy; Pathology; Psychology; Radiology","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":[0.0005912221,0.0002399649,0.000248415,0.0008690262,0.0001528016,0.0002848893,0.0001491867,0.0003178404,0.0008457558],"category_scores_gemma":[0.002240439,0.000250884,0.0001633497,0.0004081085,0.0005014342,0.0005053091,0.0002817707,0.000193489,0.000151964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237611,"about_ca_system_score_gemma":0.0001701618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009314181,"about_ca_topic_score_gemma":0.00128807,"domain_scores_codex":[0.999858,0.00004005949,0.00001315938,0.00004060269,0.00003199915,0.00001621765],"domain_scores_gemma":[0.9992322,0.0002338054,0.0003047028,0.00008044874,0.00009824765,0.00005061809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001865648,0.0001486429,0.8831714,0.0001475649,0.0003049666,0.001587248,0.0009714707,0.001497785,0.08825448,0.0002191501,0.00008742165,0.02174432],"study_design_scores_gemma":[0.0000288017,0.0004504128,0.9909471,0.000009151569,0.00005863556,0.003545051,0.0001641506,0.002363394,0.002100748,0.0002220371,0.0000979558,0.00001248878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994677,0.00006318537,0.000354403,0.00001237556,3.960753e-7,0.000003199589,0.00001525938,0.000003247447,0.00008033688],"genre_scores_gemma":[0.9996065,0.00003168662,0.0002894753,0.000004816457,0.00000413649,0.000002478473,0.00002461349,0.000001944492,0.00003433346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009314181,"threshold_uncertainty_score":0.003126681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608401258188702,"score_gpt":0.3303549924916193,"score_spread":0.1695148666727491,"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."}}