{"id":"W1599253449","doi":"","title":"Health Care Spending: What the Future Will Look Like","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Gross domestic product; Health care; Government (linguistics); Economic growth; Business; Government spending; Per capita income; Measures of national income and output; Development economics; Economic policy; Economics; Environmental health; Population; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.005233542,0.000663857,0.001320218,0.0005749848,0.002034222,0.0002373862,0.001961212,0.00157517,0.0003265979],"category_scores_gemma":[0.0002507044,0.0005625629,0.0003102622,0.0002990357,0.0004541315,0.0003630969,0.003306706,0.01011935,0.0003428042],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01080176,"about_ca_system_score_gemma":0.006313122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451422,"about_ca_topic_score_gemma":0.03639854,"domain_scores_codex":[0.9889769,0.003458912,0.001954551,0.001692172,0.0007902833,0.00312721],"domain_scores_gemma":[0.9934254,0.001766991,0.0008416434,0.002838582,0.0004756986,0.0006516489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000561516,0.0003215668,0.0873886,0.01111958,0.0002115688,0.0001741962,0.04158101,0.003209519,0.000002172465,0.003256277,0.152779,0.699395],"study_design_scores_gemma":[0.0007288639,0.0001426647,0.02176724,0.002472104,0.000008793661,0.000006279992,0.08146699,0.000189923,0.000001399659,0.001269603,0.8914253,0.0005208537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.407978,0.09846234,0.000004285149,0.1009751,0.04335226,0.02254638,0.001138786,0.0006936754,0.3248492],"genre_scores_gemma":[0.5711071,0.3647677,0.001520247,0.01438168,0.01772156,0.00322962,0.002232947,0.0006798962,0.02435922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7386463,"threshold_uncertainty_score":0.999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04942642291816256,"score_gpt":0.4455990737803479,"score_spread":0.3961726508621853,"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."}}