{"id":"W2006280074","doi":"10.1080/00036840500173049","title":"An analysis of government expenditure and trade liberalization","year":2005,"lang":"en","type":"article","venue":"Applied Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Economics; Government expenditure; Free trade; Liberalization; International economics; Government (linguistics); Small open economy; Open economy; International trade; Monetary economics; Macroeconomics; Public finance; Market economy; Monetary policy","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":[0.0006236994,0.0003358102,0.0005376081,0.001470041,0.0004359338,0.001712891,0.00032025,0.0005711314,0.01037999],"category_scores_gemma":[0.004484296,0.0001927649,0.0007984324,0.003813441,0.0008467711,0.000997636,0.0008152436,0.001351704,0.0004939575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261252,"about_ca_system_score_gemma":0.001488316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01449397,"about_ca_topic_score_gemma":0.01660628,"domain_scores_codex":[0.9993854,0.0002073092,0.0000166279,0.00003230246,0.00007473608,0.000283606],"domain_scores_gemma":[0.9953816,0.00307863,0.0008299031,0.0001201244,0.0003226663,0.0002671658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001698726,0.000531957,0.164365,0.0007378173,0.0005847659,0.00186046,0.001046344,0.1506184,0.002024868,0.6086037,0.01295905,0.05496878],"study_design_scores_gemma":[0.0002408676,0.0009183902,0.5734786,0.0005377604,0.0007484611,0.001193523,0.004241103,0.1547599,0.004081464,0.2050438,0.05464252,0.0001137049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051877,0.006101253,0.003638181,0.005626817,0.00009096564,0.00003238661,0.0015264,0.00007769543,0.07771853],"genre_scores_gemma":[0.9918751,0.001980889,0.0002075209,0.0001027162,0.00006134892,0.00001241803,0.0003027684,0.00001104534,0.005446158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01449397,"threshold_uncertainty_score":0.03472453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458667127225834,"score_gpt":0.1989118806009778,"score_spread":0.1843252093287194,"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."}}