{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001417482,0.000253338,0.0006590915,0.0004696719,0.0004994769,0.00005702253,0.0002224386,0.00009084087,0.0003864894],"category_scores_gemma":[0.001182199,0.0002149694,0.0001546319,0.00050329,0.000299978,0.000283591,0.0005071681,0.001189338,0.000002698587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402267,"about_ca_system_score_gemma":0.0001644179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672015,"about_ca_topic_score_gemma":0.0001900629,"domain_scores_codex":[0.9964356,0.0003041514,0.0006367957,0.0004053642,0.001443971,0.0007741485],"domain_scores_gemma":[0.9983392,0.0002951494,0.0003783989,0.0003076298,0.0001884944,0.0004910835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001319178,0.0006236704,0.7966504,0.00007087281,0.0001181285,0.00003989677,0.0007402528,0.0001892478,0.1854221,0.000001990545,0.0001237459,0.01470055],"study_design_scores_gemma":[0.006998517,0.0009079544,0.9631014,0.0005090188,0.00004487642,0.00003492,0.0006816274,0.01755235,0.009856198,0.00003905758,0.0001024815,0.0001715365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978067,0.000448299,0.00003435741,0.0004854972,0.0001656191,0.0008276236,0.00004984013,0.00003243686,0.0001496319],"genre_scores_gemma":[0.9983911,0.0007201085,0.0003599585,0.00003741849,0.0001286801,0.0002371891,0.000004920194,0.0000394523,0.00008119659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755659,"threshold_uncertainty_score":0.8766198,"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."}}