{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001721957,0.0003267975,0.001127969,0.0002497521,0.0001981628,0.00004662814,0.0001481013,0.0001530495,0.00006521012],"category_scores_gemma":[0.001087567,0.0002547035,0.0001555802,0.0004409166,0.0003665602,0.0003833487,0.000231539,0.0005727287,0.000001515545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008976,"about_ca_system_score_gemma":0.00007748947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003376593,"about_ca_topic_score_gemma":0.006406177,"domain_scores_codex":[0.9967269,0.0003300201,0.0008735728,0.0005030048,0.0009888764,0.000577656],"domain_scores_gemma":[0.9979701,0.0004604906,0.0004173457,0.0004031628,0.0004238774,0.0003250107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001866132,0.0008103407,0.8914831,0.0004099178,0.0001225621,0.000001660477,0.001194697,0.00005646409,0.09692263,0.000004466783,0.00002012759,0.007107861],"study_design_scores_gemma":[0.01130079,0.0005332906,0.9727575,0.0009050734,0.00007460315,0.00003917863,0.0007230814,0.008936655,0.004477305,0.00001394566,0.000008855607,0.0002297482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978943,0.0005215868,0.0001286959,0.0002288317,0.00007081032,0.001000829,0.0001053211,0.00001817335,0.00003144559],"genre_scores_gemma":[0.9942768,0.001159813,0.004374379,0.00002609048,0.00007643216,0.00002451041,0.00001388231,0.0000329068,0.00001517809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09244533,"threshold_uncertainty_score":0.9999905,"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."}}