{"id":"W2059833130","doi":"10.1212/wnl.58.1.37","title":"Prevalence, expenditures, utilization, and payment for persons with MS in insured populations","year":2002,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority","funders":"National Multiple Sclerosis Society","keywords":"Medicaid; Beneficiary; Capitation; Population; Medicare Part B; Medicine; Medicare Advantage; Health care; Payment; Business; Demography; Actuarial science; Environmental health; Finance","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":[0.00006119212,0.00007635238,0.0001432993,0.0001160548,0.00007296835,0.000005532915,0.00003409703,0.00004915917,0.0001135788],"category_scores_gemma":[0.0001464368,0.00005784094,0.00001533496,0.00007358194,0.00009704025,0.00003254496,0.00002531349,0.0001091177,0.000002194021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001025092,"about_ca_system_score_gemma":0.000008608654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005927742,"about_ca_topic_score_gemma":0.0005034854,"domain_scores_codex":[0.9993016,0.00004830068,0.0001134242,0.0002186299,0.0001189609,0.0001991049],"domain_scores_gemma":[0.9996616,0.00009079157,0.00002614378,0.0001283869,0.0000343981,0.00005866907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004440766,0.000227453,0.9884242,0.0001265488,0.00002497341,0.00001680339,0.0009230154,0.00002877504,0.0004733229,0.0002824367,0.00524621,0.003782134],"study_design_scores_gemma":[0.001989483,0.001093132,0.978995,0.00001392812,0.00001671138,0.00002279805,0.00001614078,0.003992104,0.00003206811,0.00002339395,0.01375624,0.00004896747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894346,0.001156892,0.000124402,0.007462147,0.00005199745,0.0009816745,0.00002445229,0.000029772,0.0007340364],"genre_scores_gemma":[0.9978278,0.0006801299,0.0003881914,0.000574241,0.00004569913,0.0002144288,0.00001189368,0.00001097308,0.0002466947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009429216,"threshold_uncertainty_score":0.2358685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333280799570097,"score_gpt":0.3437679615885555,"score_spread":0.2104398816315458,"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."}}