{"id":"W2793901641","doi":"10.1002/hbm.23993","title":"Changes in structural network are associated with cortical demyelination in early multiple sclerosis","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Svenska Sällskapet för Medicinsk Forskning; Canada Research Chairs; Canadian Institutes of Health Research; Réseau en Bio-Imagerie du Quebec","keywords":"Multiple sclerosis; White matter; Myelin; Diffusion MRI; Analysis of variance; Correlation; Neuroscience; Medicine; Psychology; Pathology; Magnetic resonance imaging; Internal medicine; Central nervous system; Radiology; Mathematics; Immunology","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":[0.0002723423,0.0002778682,0.0002749242,0.000870907,0.0002196355,0.000363649,0.0001751923,0.0002944943,0.001903195],"category_scores_gemma":[0.001760068,0.0001649163,0.000150437,0.0005377633,0.0002698913,0.0003857082,0.0003999639,0.0002822673,0.0001298604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689293,"about_ca_system_score_gemma":0.0001055539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290654,"about_ca_topic_score_gemma":0.002362294,"domain_scores_codex":[0.9998493,0.00004097796,0.00001420486,0.00003698768,0.00003138538,0.00002714213],"domain_scores_gemma":[0.9985385,0.0003132653,0.0007959785,0.00007067345,0.0001315373,0.0001500351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001487233,0.0001613222,0.9436557,0.0001057597,0.0003611293,0.001051759,0.0005812111,0.0006621794,0.03890414,0.0001470115,0.0001789362,0.01270345],"study_design_scores_gemma":[0.000004089665,0.00008282529,0.9985247,0.000002895276,0.00001754501,0.0004989677,0.00006252416,0.0002665522,0.0004183231,0.00008201795,0.00003718695,0.000002477892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995404,0.0001222158,0.0001426144,0.00001568501,6.640801e-7,0.000002287774,0.00004762474,0.000004893872,0.0001233911],"genre_scores_gemma":[0.9996471,0.00004938513,0.0001244669,0.000004488501,0.000003071834,0.000003368227,0.00006541511,0.000001687035,0.0001008856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001903195,"threshold_uncertainty_score":0.006366849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102981453913577,"score_gpt":0.3158422426804057,"score_spread":0.205544097289048,"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."}}