{"id":"W2260234008","doi":"","title":"Social Security Numbers in Medicaid Records: Reporting and Validity, 2009","year":2013,"lang":"en","type":"article","venue":"Mathematica Policy Research Reports","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Social security; Census; Quarter (Canadian coin); Fiscal year; Test (biology); Administration (probate law); Actuarial science; Psychology; Medicine; Environmental health; Political science; Business; Geography; Finance; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01954731,0.0002584671,0.0003171195,0.00518563,0.001024247,0.001455269,0.00124437,0.0003404737,0.001528361],"category_scores_gemma":[0.1008967,0.0003513287,0.0006265327,0.006775223,0.0009502826,0.001702154,0.002586066,0.0007553685,0.0006965711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00294753,"about_ca_system_score_gemma":0.00419776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05038486,"about_ca_topic_score_gemma":0.03678517,"domain_scores_codex":[0.9817379,0.004541018,0.003942612,0.001263319,0.007738995,0.0007762123],"domain_scores_gemma":[0.8866399,0.02893647,0.04608142,0.009818186,0.02715736,0.001366669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007020143,0.00004484437,0.9868817,0.00003874263,0.00006950839,0.00001479857,0.0005929133,0.0001619939,0.00007045146,0.0004256949,0.003289542,0.008339672],"study_design_scores_gemma":[0.00001118338,0.00003505621,0.9916736,0.0000969559,0.00002938087,0.00005004379,0.0007767676,0.0006487868,0.0005101634,0.0001921386,0.005963732,0.00001217439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335539,0.000520284,0.001702256,0.001260307,0.0001002107,0.0004337786,0.04994031,0.00007761695,0.0124114],"genre_scores_gemma":[0.9590371,0.0004004216,0.002124554,0.000335341,0.00006887496,0.0004346388,0.03586332,0.00004280978,0.001693086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05038486,"threshold_uncertainty_score":0.1033773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2718022711578069,"score_gpt":0.4370783783755091,"score_spread":0.1652761072177022,"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."}}