{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225484,0.000155856,0.0001612426,0.001381607,0.0002526343,0.0003804933,0.0001927333,0.0002585913,0.001533025],"category_scores_gemma":[0.002786333,0.0001145244,0.0002390387,0.0008027393,0.0001581597,0.0003742751,0.0003697325,0.000245652,0.0001298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004200333,"about_ca_system_score_gemma":0.0003326354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006399,"about_ca_topic_score_gemma":0.009230248,"domain_scores_codex":[0.9995745,0.00008815931,0.00005786096,0.00006823419,0.000146961,0.00006428699],"domain_scores_gemma":[0.9985353,0.0002176853,0.0008948519,0.00003418176,0.0001468405,0.0001710712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001285825,0.00001176146,0.9989578,0.000004549251,0.00001720843,0.00001966325,0.00001887549,0.00002518806,0.0000542395,0.00001269745,0.00009902576,0.0007660979],"study_design_scores_gemma":[0.000001651295,0.00002196209,0.9995258,0.00000400323,0.000008884527,0.000153386,0.00005385201,0.0001057127,0.00002517464,0.00001074178,0.00008782054,0.000001047499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981535,0.0001988335,0.00005308447,0.00009100388,0.000002403691,0.00000666492,0.001106069,0.000004009298,0.0003843302],"genre_scores_gemma":[0.998493,0.000175405,0.00008642388,0.00002510463,0.00001302384,0.000009857579,0.001105918,8.504871e-7,0.00009059607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006399,"threshold_uncertainty_score":0.02001083,"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."}}