{"id":"W3124009458","doi":"","title":"An Aging Population Fiscal Challenge: Planning for Healthcare Costs in Quebec","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Population ageing; Fiscal year; Benchmark (surveying); Population; Business; Economics; Economic growth; Medicine; Finance; Geography; Environmental health","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":[0.002728228,0.0006485395,0.0005285454,0.00157346,0.004390446,0.007224089,0.001330183,0.002395126,0.01462485],"category_scores_gemma":[0.0100207,0.0004129225,0.000616946,0.003534455,0.001150625,0.002542726,0.001166015,0.002008912,0.001090455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07016756,"about_ca_system_score_gemma":0.1218149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856322,"about_ca_topic_score_gemma":0.9907666,"domain_scores_codex":[0.9987434,0.0004380023,0.00002617815,0.00007475783,0.0002811208,0.0004365931],"domain_scores_gemma":[0.9954927,0.001152261,0.0001581093,0.0001191253,0.002166219,0.0009115373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008077449,0.0001201376,0.02005368,0.0001519598,0.0001007222,0.0003063225,0.0008565466,0.04544605,0.00009921749,0.07653765,0.7697552,0.08649177],"study_design_scores_gemma":[0.000170221,0.00007277605,0.06878261,0.00175614,0.0001757276,0.0001701713,0.01871728,0.1246966,0.0004983106,0.1273535,0.657334,0.0002726651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09171607,0.01868175,0.01243362,0.6113647,0.001681274,0.0004604529,0.01523426,0.0006307019,0.2477972],"genre_scores_gemma":[0.8157783,0.02057769,0.03459889,0.02494081,0.001160396,0.0003385142,0.008247262,0.0003132573,0.09404486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07016756,"threshold_uncertainty_score":0.5091037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1915853007765375,"score_gpt":0.5394968819723941,"score_spread":0.3479115811958565,"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."}}