{"id":"W4292941883","doi":"10.3389/fnimg.2022.970385","title":"The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neuroimaging","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University; St. Francis Xavier University; University of Manitoba; Health Sciences Centre","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Canada; Multiple Sclerosis Society; Seoul National University; Multiple Sclerosis Society of Canada; University of Minnesota; European Genomic Institute for Diabetes; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Research Manitoba; Health Sciences Centre Foundation","keywords":"Neuroimaging; Cognition; Multiple sclerosis; Comorbidity; Functional neuroimaging; Medicine; Anxiety; Depression (economics); Psychology; Physical medicine and rehabilitation; Psychiatry","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":[0.001214455,0.0002537398,0.0003784874,0.0004230772,0.001207958,0.0002407125,0.0001676914,0.00001993928,0.000009473668],"category_scores_gemma":[0.0007576556,0.0002264543,0.00003944875,0.0005893597,0.0004236733,0.0004452359,0.0005976966,0.0007036218,5.299572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289129,"about_ca_system_score_gemma":0.00008916382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007587862,"about_ca_topic_score_gemma":0.00005859819,"domain_scores_codex":[0.9970912,0.0005248229,0.0005459436,0.0006775997,0.000670623,0.0004898562],"domain_scores_gemma":[0.9989712,0.0003696739,0.0001538853,0.0002481799,0.0001544222,0.0001026185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007554247,0.0005113451,0.9617603,0.0001690392,0.00001834026,0.000104458,0.001615674,0.00006025374,0.007871944,0.000001103517,0.003108855,0.02402328],"study_design_scores_gemma":[0.006142571,0.0001903291,0.8955912,0.0001524401,0.00002664783,0.00003872395,0.006791886,0.08974034,0.000152325,0.00007204853,0.0009081638,0.0001933317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952249,0.0005882887,0.0006730523,0.005937343,0.0002240964,0.04002726,0.00003648574,0.00009964252,0.000164834],"genre_scores_gemma":[0.9713947,0.0001564843,0.002998834,0.000397423,0.00008940439,0.02487038,0.00001805331,0.00004562098,0.0000290939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08968009,"threshold_uncertainty_score":0.9290758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06214190428429176,"score_gpt":0.3172561209140876,"score_spread":0.2551142166297958,"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."}}