{"id":"W2465429247","doi":"10.1212/wnl.0000000000002887","title":"Health insurance affects the use of disease-modifying therapy in multiple sclerosis","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; EMD Serono; MedDay Pharmaceuticals; Multiple Sclerosis Society of Canada; Genentech; Multiple Sclerosis Society; Research Manitoba; National Institute of Neurological Disorders and Stroke; Teva Pharmaceutical Industries; University of Alabama at Birmingham; Cleveland Clinic; University of Alabama; Biogen; Sanofi; U.S. Department of Defense; Janssen Pharmaceuticals; Gilead Sciences; National Heart, Lung, and Blood Institute; Pfizer","keywords":"Denial; Odds; Actuarial science; Odds ratio; Health insurance; Group insurance; Medicine; Logistic regression; General insurance; Business; Insurance policy; Psychology; Income protection insurance; Health care; Internal medicine; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505616,0.0001854191,0.0001773664,0.000585895,0.000282747,0.0005666899,0.0002985693,0.0004797697,0.002769555],"category_scores_gemma":[0.0125346,0.0001335635,0.000556707,0.0007309811,0.0002527835,0.0004576005,0.0006299624,0.0006218422,0.0002593931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280249,"about_ca_system_score_gemma":0.0003890739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00740912,"about_ca_topic_score_gemma":0.006710802,"domain_scores_codex":[0.9987569,0.0005017064,0.0001401893,0.0001045876,0.0003084493,0.0001881523],"domain_scores_gemma":[0.9906225,0.002086855,0.006082165,0.0001401488,0.0003826327,0.0006857761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005974939,0.00004800082,0.9979801,0.00000978615,0.00004093866,0.00002284962,0.00002064659,0.00003290687,0.00003921679,0.000009564853,0.00007251919,0.001663732],"study_design_scores_gemma":[0.000002908592,0.00004789446,0.9994857,0.00001295998,0.00002350057,0.00008690341,0.00002829395,0.0001518377,0.00002346136,0.00001250183,0.0001225939,0.000001368885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968379,0.001238592,0.00006513704,0.0005062666,0.0000130981,0.000007074434,0.0003645759,0.000004359475,0.0009630226],"genre_scores_gemma":[0.9993036,0.0002885305,0.00006286703,0.00005700879,0.00002448076,0.000002942737,0.0001427231,0.000001262141,0.0001164848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00740912,"threshold_uncertainty_score":0.014732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2158484439859246,"score_gpt":0.3422619353593869,"score_spread":0.1264134913734622,"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."}}