{"id":"W4206659757","doi":"10.1177/13524585211061861","title":"Body mass index as a predictor of MS activity and progression among participants in BENEFIT","year":2022,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute of Neurological Disorders and Stroke; Deutsche Forschungsgemeinschaft; Multiple Sclerosis Society; National Multiple Sclerosis Society","keywords":"Multiple sclerosis; Body mass index; Obesity; Clinical neurology; Physical activity; Young adult","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009026651,0.0002264022,0.000311179,0.0005645679,0.0002808106,0.0005047844,0.0002101334,0.0003908024,0.002035211],"category_scores_gemma":[0.00243469,0.0001196046,0.0004125733,0.0005272308,0.000175879,0.0002984586,0.0003790708,0.0006436973,0.0001872855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143712,"about_ca_system_score_gemma":0.0001971619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492942,"about_ca_topic_score_gemma":0.001584266,"domain_scores_codex":[0.9997397,0.00008547173,0.00002089441,0.00004876036,0.00005240267,0.00005273505],"domain_scores_gemma":[0.9986631,0.0003715617,0.0004570178,0.00004684921,0.00008825819,0.0003733295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000348291,0.00002454977,0.9983088,0.00000687401,0.00003917726,0.00002171866,0.0000248583,0.00001492852,0.00009525455,0.000006426589,0.00004105553,0.001068056],"study_design_scores_gemma":[0.00001233282,0.0001606881,0.9993754,0.000006135434,0.0000517118,0.00008460462,0.0000611122,0.0001186159,0.00002339068,0.00001768739,0.00008695898,0.000001306411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991806,0.0003521537,0.00003610725,0.00005560529,0.000007720667,0.000005143425,0.0001176114,0.000001991456,0.0002429596],"genre_scores_gemma":[0.9996725,0.00007672609,0.00002859213,0.00001465631,0.00001083025,0.000004434249,0.0001176714,9.240098e-7,0.00007367158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002035211,"threshold_uncertainty_score":0.0068084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08401648301470017,"score_gpt":0.3321876973521605,"score_spread":0.2481712143374603,"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."}}