{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158316,0.0002772561,0.000543792,0.0002749429,0.0003300984,0.0001150369,0.0002706307,0.0001110618,0.00001764372],"category_scores_gemma":[0.003549321,0.000229907,0.0001531349,0.0006098955,0.0003558337,0.00008018542,0.0004466161,0.0004421836,0.0001543154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704908,"about_ca_system_score_gemma":0.0001578019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004855325,"about_ca_topic_score_gemma":0.006001952,"domain_scores_codex":[0.9973403,0.0007800303,0.0005130013,0.0005427533,0.0003380366,0.0004858692],"domain_scores_gemma":[0.9859979,0.01196101,0.0000662945,0.00149213,0.0001976516,0.0002850147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007159442,0.001175839,0.8344385,0.000453528,0.0007130633,0.0001239868,0.002909505,0.0008270193,0.007575464,0.0002033601,0.07651846,0.07434536],"study_design_scores_gemma":[0.002135229,0.00049654,0.9626578,0.002654598,0.00007459052,0.000008900628,0.0001754127,0.01609829,0.0001879748,0.00003764637,0.01524777,0.0002252414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.42838,0.006156673,0.004272252,0.5538992,0.0002021794,0.005302873,0.0001872933,0.0003813196,0.001218143],"genre_scores_gemma":[0.9791797,0.001291353,0.01409562,0.004152341,0.0001134543,0.0006957542,0.00006674633,0.0000510605,0.0003539576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5507997,"threshold_uncertainty_score":0.9375336,"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."}}