{"id":"W3131004490","doi":"10.56497/etj2166103","title":"Economic growth and government expenditure – evidence of Wagner’s Law in some EU countries","year":2021,"lang":"en","type":"article","venue":"Economic Thought journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Quarter (Canadian coin); Granger causality; Economics; Government expenditure; Government (linguistics); Empirical evidence; Distributed lag; Economy; Macroeconomics; Geography; Econometrics; Demography; Public finance; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009014477,0.0002772821,0.0008482193,0.0001392676,0.0001466784,0.0002174449,0.0003525672,0.0001795054,0.0008395976],"category_scores_gemma":[0.00007652499,0.0003318973,0.0001970678,0.00004013349,0.0002014122,0.001557132,0.0001839574,0.0003926757,0.0003373754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007423983,"about_ca_system_score_gemma":0.0001271875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002490068,"about_ca_topic_score_gemma":0.0004005112,"domain_scores_codex":[0.9974052,0.00004934183,0.001472,0.0005454345,0.00003988392,0.0004880978],"domain_scores_gemma":[0.9984093,0.0002185294,0.0008220294,0.0003394492,0.00001017526,0.0002004682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007067731,0.00004207827,0.05491203,0.00007991204,0.00008428533,0.00003109588,0.0004379902,0.0001714379,0.00005365656,0.9420642,0.001967234,0.00008538336],"study_design_scores_gemma":[0.005065989,0.0003532438,0.07615927,0.0005199384,0.00004735598,0.001064202,0.001065022,0.001801374,0.01497565,0.7942124,0.1030029,0.001732621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252659,0.01714774,0.00004454514,0.006893926,0.0019295,0.0001584444,0.0003847884,0.00001690584,0.04815826],"genre_scores_gemma":[0.992848,0.004074155,0.0003715011,0.001306269,0.0009448364,0.00001035966,0.000003723852,0.00003735441,0.0004038351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1478518,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404240670470659,"score_gpt":0.2330762406272463,"score_spread":0.2090338339225397,"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."}}