{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002410034,0.0003876043,0.0003832143,0.004822174,0.000469635,0.002307784,0.0004046315,0.0004213662,0.00109064],"category_scores_gemma":[0.009414808,0.0001036098,0.0006522848,0.007384994,0.000757911,0.001559629,0.002230482,0.0005643677,0.0002964174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576652,"about_ca_system_score_gemma":0.001663432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1247811,"about_ca_topic_score_gemma":0.1014656,"domain_scores_codex":[0.9985828,0.0003767623,0.0001331718,0.0001234252,0.0003023366,0.0004814454],"domain_scores_gemma":[0.9935468,0.001585779,0.002276722,0.0002779586,0.001732651,0.0005800794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002014062,0.00004979779,0.9776192,0.00006754148,0.0001039792,0.000286795,0.002112241,0.0007931147,0.00004997882,0.001195988,0.002188294,0.01533181],"study_design_scores_gemma":[0.000006205282,0.00003994622,0.9875044,0.00005183089,0.00002900459,0.0001055376,0.008450979,0.0002832275,0.00008029079,0.0001075439,0.003332468,0.000008600421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864483,0.001259459,0.0001134691,0.0007168365,0.00003387334,0.00001873663,0.003217397,0.00001198232,0.008179971],"genre_scores_gemma":[0.9943594,0.0009224317,0.0001506015,0.00009706045,0.00002617643,0.00002010316,0.003853858,0.00000972063,0.0005606663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1247811,"threshold_uncertainty_score":0.2481096,"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."}}