{"id":"W2945419470","doi":"10.1177/1352458519845836","title":"Measures of general and abdominal obesity and disability severity in a large population of people with multiple sclerosis","year":2019,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Multiple Sclerosis Society","keywords":"Abdominal obesity; Medicine; Waist; Odds ratio; Comorbidity; Body mass index; Obesity; Metabolic syndrome; Confidence interval; Internal medicine; Population; Waist-to-height ratio; Physical therapy; Environmental health","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":[0.002063442,0.0004208267,0.0005177838,0.00148999,0.0004957235,0.0005001167,0.0004753216,0.0005543227,0.001901106],"category_scores_gemma":[0.005316137,0.0003619213,0.0004365332,0.001963881,0.0003604807,0.0004730519,0.0007123615,0.0006669311,0.0004285938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993015,"about_ca_system_score_gemma":0.0002645456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320022,"about_ca_topic_score_gemma":0.004622446,"domain_scores_codex":[0.9985332,0.0007174191,0.0001946982,0.0001831172,0.000293603,0.00007780359],"domain_scores_gemma":[0.9965248,0.0006068777,0.001995223,0.000277123,0.0002746923,0.0003212474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000319158,0.00002566939,0.9989238,0.00001222239,0.00005319449,0.00001617113,0.00003882758,0.00002079422,0.00005267854,0.000004061552,0.00009166525,0.0007289366],"study_design_scores_gemma":[0.000006626752,0.00005331744,0.9995593,0.000005352543,0.00001929881,0.0001287067,0.00006737065,0.00007376025,0.00001444324,0.00001103586,0.00005883187,0.00000187366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997661,0.0002971511,0.0001624723,0.0001006794,0.000007909834,0.00003946222,0.00133636,0.00001008945,0.000384695],"genre_scores_gemma":[0.9981791,0.0001657981,0.0003518873,0.00005206214,0.00002098203,0.00009604923,0.0009904662,0.000002413538,0.0001414169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003320022,"threshold_uncertainty_score":0.01091266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0630373176336571,"score_gpt":0.2798065236806745,"score_spread":0.2167692060470174,"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."}}