{"id":"W4401066949","doi":"10.1093/braincomms/fcae234","title":"Longitudinal network-based brain grey matter MRI measures are clinically relevant and sensitive to treatment effects in multiple sclerosis","year":2024,"lang":"en","type":"article","venue":"Brain Communications","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"UCLH Biomedical Research Centre; EMD Serono; Medical Research Council Canada; National Institutes of Health; Shionogi; University College London; Medical Research Council; Biogen; Celgene; Genentech; IXICO; Multiple Sclerosis Society; International Progressive MS Alliance; Alexion Pharmaceuticals; University College London Hospitals NHS Foundation Trust; Rosetrees Trust; Sanofi; National Institute for Health and Care Research; Teva Pharmaceutical Industries; UK Research and Innovation; Eli Lilly and Company","keywords":"Grey matter; Multiple sclerosis; Clinical trial; Medicine; Physical medicine and rehabilitation; Longitudinal study; Longitudinal data; Magnetic resonance imaging; Physical therapy; Internal medicine; Pathology; Data mining; White matter; Radiology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01449692,0.0005033291,0.0006126959,0.001149264,0.0003766739,0.000766158,0.0005771195,0.0005593494,0.00175603],"category_scores_gemma":[0.04475692,0.0003225795,0.001199866,0.001284224,0.0006141057,0.0009466296,0.0008302202,0.001040114,0.0001903863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503993,"about_ca_system_score_gemma":0.0004948124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101093,"about_ca_topic_score_gemma":0.003804821,"domain_scores_codex":[0.9918024,0.005719734,0.0005400871,0.001176861,0.0005811499,0.0001798191],"domain_scores_gemma":[0.9632282,0.02506289,0.006417003,0.003607692,0.001375187,0.0003090733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002831741,0.0003202517,0.8910759,0.0005191124,0.007227481,0.0001573017,0.0003993922,0.02292656,0.008645656,0.0009612134,0.001231658,0.06370376],"study_design_scores_gemma":[0.00009161853,0.0009213713,0.9247054,0.00007531291,0.001609347,0.000194348,0.0001133134,0.0623237,0.00414143,0.004091433,0.001685527,0.00004706961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578648,0.002177634,0.03604123,0.0004557541,0.00005990814,0.0001596638,0.00172542,0.0002207413,0.001294807],"genre_scores_gemma":[0.9945818,0.000147517,0.004245627,0.00005097427,0.00001522647,0.0001039048,0.0006943527,0.00001722988,0.0001434201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01449692,"threshold_uncertainty_score":0.07666796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460481035452348,"score_gpt":0.3714795884735051,"score_spread":0.2254314849282703,"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."}}