{"id":"W4285809715","doi":"10.1016/j.nicl.2022.103109","title":"Myelin water imaging in relapsing multiple sclerosis treated with ocrelizumab and interferon beta-1a","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; International Collaboration On Repair Discoveries","funders":"Roche Diagnostics; Michael Smith Health Research BC; University of British Columbia; F. Hoffmann-La Roche","keywords":"Multiple sclerosis; Ocrelizumab; Medicine; Interferon beta; Interferon beta-1a; BETA (programming language); Oncology; Internal medicine; Immunology; Rituximab","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":[0.001228452,0.000276632,0.0006761336,0.0002645518,0.0003110504,0.00006068352,0.0001793084,0.00005304418,0.0002955172],"category_scores_gemma":[0.0008404134,0.0001960375,0.0001383507,0.0002643993,0.0004688672,0.0001532024,0.000845762,0.001378882,0.00002700522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324167,"about_ca_system_score_gemma":0.00005378659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001851608,"about_ca_topic_score_gemma":0.00005777629,"domain_scores_codex":[0.9964082,0.0006478908,0.0008104245,0.000913238,0.0005749823,0.0006452693],"domain_scores_gemma":[0.9981676,0.0008606269,0.00008937738,0.0005326857,0.0001031192,0.0002466119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005334294,0.0006532277,0.9209667,0.00005105991,0.00005792774,0.0006698219,0.0004553187,0.00002562735,0.03998273,0.000001401177,0.001561419,0.03024047],"study_design_scores_gemma":[0.01290241,0.002694843,0.9692671,0.0002272451,0.00008350659,0.0001330191,0.0005585022,0.008173463,0.002062846,0.000005036381,0.003592788,0.0002992781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935074,0.0002722609,0.00003466804,0.004626256,0.0001329818,0.0006899727,0.00002115291,0.0001166631,0.0005985972],"genre_scores_gemma":[0.9973619,0.0004838531,0.000616436,0.0009265538,0.000115076,0.0001125853,0.00004018021,0.00007204045,0.0002713542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04830037,"threshold_uncertainty_score":0.7994176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210429977975534,"score_gpt":0.3498293024566848,"score_spread":0.2287863046591314,"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."}}