{"id":"W1490799875","doi":"","title":"Who's going broke?: comparing growth in Public Healthcare Expediture in ten OECD countries","year":2009,"lang":"en","type":"article","venue":"Revista Hacienda Pública Española","topic":"Global Health Care Issues","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boom; Health care; Government (linguistics); Baby boom; Economics; Annual growth %; Demographic economics; Economic growth; Business; Development economics; Agricultural economics; Demography; Population; Sociology","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002733761,0.0005706419,0.001404753,0.0009927044,0.0008399804,0.0001871412,0.0008847999,0.0005665413,0.0002141964],"category_scores_gemma":[0.0009864843,0.0005558371,0.0001414434,0.001687287,0.0001466493,0.0008126528,0.0002784142,0.002355609,0.0009556742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205765,"about_ca_system_score_gemma":0.0013279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190241,"about_ca_topic_score_gemma":0.003259919,"domain_scores_codex":[0.9920337,0.00144989,0.002004532,0.00107378,0.0009390822,0.002499051],"domain_scores_gemma":[0.9965607,0.0007079823,0.0005945123,0.0008746894,0.0005226582,0.0007394385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001884762,0.0002011295,0.8146547,0.002313104,0.0000105259,0.0001357317,0.007276224,0.000005382617,0.00004815428,0.1221832,0.05083906,0.002144324],"study_design_scores_gemma":[0.001777363,0.0001976323,0.3975967,0.002636549,0.000009535795,0.00001603158,0.001866749,0.0002504803,0.00001974228,0.0007566835,0.5942448,0.00062782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227078,0.01674335,0.00008552645,0.1223732,0.001416984,0.004537557,0.0001604325,0.0009005896,0.0310746],"genre_scores_gemma":[0.9874058,0.001247728,0.000427407,0.009384132,0.0005979611,0.00008891181,0.00008890541,0.00006102821,0.0006981766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5434057,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06267919488490595,"score_gpt":0.4151647188669302,"score_spread":0.3524855239820243,"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."}}