{"id":"W2230140990","doi":"","title":"Reducing Fiscal Deficit: Canadian Experiment and Lessons for India","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debt; Fiscal deficit; Control (management); Government (linguistics); Economics; Scale (ratio); Fiscal policy; Economic policy; Fiscal adjustment; Public spending; Finance; Macroeconomics; Political science; Geography","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":[0.003432518,0.0005301779,0.0007594871,0.001315654,0.006550538,0.003355065,0.001485162,0.001388384,0.008345448],"category_scores_gemma":[0.006395332,0.0002081086,0.0005838182,0.004266718,0.002600375,0.001445904,0.001469035,0.002457743,0.0009459674],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03556714,"about_ca_system_score_gemma":0.06634416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9715878,"about_ca_topic_score_gemma":0.9759204,"domain_scores_codex":[0.9974831,0.0005885405,0.00005783657,0.0002217257,0.000804914,0.0008439954],"domain_scores_gemma":[0.9951533,0.001017924,0.0001276026,0.0004755222,0.002412325,0.0008132244],"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":[0.00785489,0.007397926,0.03669383,0.000708366,0.0003496056,0.001451154,0.01083947,0.007621262,0.004140673,0.2423867,0.5327801,0.1477762],"study_design_scores_gemma":[0.006682825,0.003139646,0.1345477,0.000451439,0.0007615754,0.0003508164,0.02903305,0.009121659,0.008714081,0.0353015,0.7713743,0.0005215609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5166952,0.002796726,0.001347341,0.06358737,0.0007895361,0.0006731415,0.009794871,0.0005702046,0.4037456],"genre_scores_gemma":[0.8866824,0.005454991,0.004075989,0.007948335,0.0002323853,0.0002654855,0.003439383,0.0002512799,0.09164979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9644328,"threshold_uncertainty_score":0.2580589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634047567052513,"score_gpt":0.3184944212966377,"score_spread":0.2550896645913864,"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."}}