{"id":"W7096664271","doi":"","title":"Health Care Expenditures in Nine Industrialized Counties, 1960-76","year":2013,"lang":"en","type":"article","venue":"","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Inflation (cosmology); Developed country; Health spending; Health policy; Medical care; Social security; International health; Administration (probate 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":[0.0003204874,0.0002246137,0.0001805508,0.002101233,0.0009374084,0.0008386952,0.0002184207,0.0002408531,0.0008376988],"category_scores_gemma":[0.001301527,0.0001958212,0.0003052232,0.002668848,0.0004171346,0.0006743149,0.001018045,0.0004321694,0.0002036053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753678,"about_ca_system_score_gemma":0.0005568768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1369237,"about_ca_topic_score_gemma":0.190726,"domain_scores_codex":[0.9997182,0.00004744832,0.00003003849,0.00004682225,0.00004651578,0.0001109043],"domain_scores_gemma":[0.9992373,0.0001097437,0.0003291502,0.0000306455,0.0001259283,0.0001673362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002134386,0.0001102931,0.9936178,0.00001594959,0.00005179321,0.0002303678,0.001094849,0.0005561904,0.0001900836,0.0003076192,0.0005424618,0.003069249],"study_design_scores_gemma":[0.000008702012,0.00003619795,0.9979377,0.000005440778,0.00001042871,0.00006762514,0.0007428932,0.0001051276,0.00007921062,0.00003077857,0.0009718763,0.000003972996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976491,0.00009495677,0.00001277473,0.00003180135,0.000002816896,0.000005146667,0.001293063,0.000001920114,0.0009083415],"genre_scores_gemma":[0.9952987,0.0002927284,0.00005504534,0.00002427319,0.000008048738,0.00001166503,0.003488429,0.000001660128,0.000819548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369237,"threshold_uncertainty_score":0.2722534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06195380204677923,"score_gpt":0.2861664581512594,"score_spread":0.2242126561044802,"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."}}