{"id":"W2221822378","doi":"10.5539/ibr.v9n1p99","title":"The Impact of Government Expenditures on Economic Growth in Jordan (1980-2013)","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Capital expenditure; Government (linguistics); Government expenditure; Order (exchange); Ordinary least squares; Regression analysis; Public economics; Econometrics; Macroeconomics; Public finance; Finance; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000769785,0.0002591017,0.0002092952,0.0009944864,0.000193429,0.001016384,0.0002167132,0.0001879663,0.001681342],"category_scores_gemma":[0.001714401,0.00008775001,0.0003344131,0.002029171,0.0002668028,0.0004929448,0.0006569439,0.0005060795,0.0005223299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162359,"about_ca_system_score_gemma":0.002254515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04069522,"about_ca_topic_score_gemma":0.05057072,"domain_scores_codex":[0.9996899,0.00006055057,0.00003010859,0.00002936132,0.00008491922,0.0001050881],"domain_scores_gemma":[0.9987485,0.0001213512,0.0005398498,0.00002573355,0.000407418,0.0001570646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002926618,0.000137267,0.9576114,0.0001363503,0.0001197622,0.0004787848,0.0006398106,0.003539342,0.0004280812,0.001940825,0.00652189,0.02815373],"study_design_scores_gemma":[0.000007008844,0.00005945059,0.9881337,0.00004677804,0.00004342543,0.0001336651,0.002041182,0.001483663,0.0004793133,0.0001757679,0.007388243,0.000007922702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904432,0.0009139712,0.00007288096,0.0006721931,0.00001968622,0.000006589657,0.002537169,0.00001245146,0.005321889],"genre_scores_gemma":[0.9919979,0.00130819,0.0001074562,0.00005182202,0.00003579849,0.000007287415,0.002982242,0.000006643118,0.003502752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04069522,"threshold_uncertainty_score":0.0809167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023094623016718,"score_gpt":0.3490849288951906,"score_spread":0.2467754665935188,"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."}}