{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008156192,0.0001906774,0.0004116417,0.000306576,0.0003151278,0.000044064,0.0001128458,0.0001170928,0.00006175466],"category_scores_gemma":[0.002310046,0.0001642673,0.00003596076,0.0007349405,0.0002908023,0.0001014022,0.00008646985,0.0004441949,0.000009197222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185581,"about_ca_system_score_gemma":0.00002995413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002383929,"about_ca_topic_score_gemma":0.03079019,"domain_scores_codex":[0.9979426,0.0002313171,0.0003154878,0.0003851208,0.000458628,0.000666861],"domain_scores_gemma":[0.9988487,0.0005057898,0.0001259175,0.0002027004,0.0002067713,0.0001100926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001042064,0.00005024591,0.9716992,0.00003779823,0.00005163678,0.00001945428,0.002574158,0.00002861162,0.02374223,0.00005596143,0.0004058215,0.001230702],"study_design_scores_gemma":[0.003229019,0.0002944074,0.987804,0.001702062,0.000007906026,0.000001191902,0.0006253176,0.00595444,0.00008971031,0.00007284362,0.00004447347,0.0001746583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966683,0.00004906512,0.00005818209,0.002024873,0.00004756615,0.0006562758,0.000004804403,0.00007602195,0.000414903],"genre_scores_gemma":[0.9985335,0.00001077928,0.0003638298,0.0004274758,0.0004332956,0.00007702741,0.00002947118,0.00002469198,0.00009988416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03055179,"threshold_uncertainty_score":0.9868954,"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."}}