{"id":"W4253884236","doi":"10.1787/27b11444-en","title":"Cyclical vs structural effects on health care expenditure trends in OECD countries","year":2018,"lang":"en","type":"paratext","venue":"OECD Economics Department working papers","topic":"Global Health Care Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides","funders":"","keywords":"Slowdown; Health care; Pace; Demographic economics; Economics; Economic slowdown; International economics; Economic growth; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001386809,0.0002638751,0.0003966567,0.002887558,0.0003704549,0.002845666,0.0004055579,0.0005608374,0.005624224],"category_scores_gemma":[0.007558907,0.0001985019,0.0008821826,0.009971465,0.0007232653,0.001018141,0.001371858,0.0007528301,0.0007714329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521854,"about_ca_system_score_gemma":0.002357166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1310875,"about_ca_topic_score_gemma":0.09491045,"domain_scores_codex":[0.9990638,0.0001657696,0.0001161305,0.00009991093,0.0001671629,0.0003872013],"domain_scores_gemma":[0.9950857,0.001019101,0.002322985,0.0002833235,0.0009459596,0.0003429656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005709878,0.00008465385,0.9427139,0.0002866109,0.0004441361,0.0004830308,0.001297231,0.007537168,0.0003155872,0.01423254,0.01268409,0.01935012],"study_design_scores_gemma":[0.00001437755,0.00005887987,0.9867769,0.0001124196,0.0001019614,0.00007351321,0.0018917,0.001181709,0.0002093304,0.0006387483,0.008921359,0.00001909968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392866,0.003194373,0.0002907109,0.004741871,0.0001832577,0.00002105883,0.02458347,0.00009812089,0.0276005],"genre_scores_gemma":[0.9880691,0.001920925,0.0001030847,0.0001953718,0.00009113662,0.0000158017,0.006978461,0.00002819215,0.00259779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310875,"threshold_uncertainty_score":0.260649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385717518215482,"score_gpt":0.3877224094283507,"score_spread":0.3638652342461959,"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."}}