{"id":"W7101151900","doi":"","title":"Fiscal Tonic for an Aging Nation: A Shadow Federal Budget for 2007.” C.D. Howe Institute Backgrounder 101","year":2014,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Standard of living; Investment (military); Shadow (psychology); Population; Population ageing; Fiscal capacity; Federal budget","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":[0.002806637,0.0007218482,0.0003545393,0.001117556,0.005480112,0.004558889,0.000977247,0.005704428,0.02618681],"category_scores_gemma":[0.005807953,0.0006048662,0.0005247461,0.001166668,0.0005582434,0.002347882,0.001996565,0.006256769,0.00760089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0162,"about_ca_system_score_gemma":0.08611156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4598842,"about_ca_topic_score_gemma":0.7310257,"domain_scores_codex":[0.9983366,0.0001856965,0.0001028807,0.00008835791,0.0006570528,0.0006294223],"domain_scores_gemma":[0.9971629,0.0002367192,0.00010404,0.00006880097,0.00154186,0.0008856672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001087505,0.00001040787,0.0002451265,0.00002446033,0.000001578065,0.00002096923,0.00006058535,0.00002862769,0.00004366613,0.004617449,0.987204,0.007732183],"study_design_scores_gemma":[0.000009345024,0.000006311417,0.001660202,0.0001381667,0.000004754535,0.00001802913,0.0002625538,0.00005194719,0.00007320231,0.0004010917,0.9973647,0.00000972654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00345717,0.02717771,0.0004575642,0.7631928,0.03351719,0.000240631,0.007162349,0.0003002619,0.1644944],"genre_scores_gemma":[0.03625661,0.03520979,0.004797068,0.1946752,0.004925452,0.0004879893,0.007309586,0.0002834757,0.7160548],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5401158,"threshold_uncertainty_score":0.9144148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262984278556688,"score_gpt":0.3357662498623378,"score_spread":0.2831364070767709,"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."}}