{"id":"W2164680230","doi":"10.1007/s11127-009-9405-3","title":"Federal, state, and local governments: evaluating their separate roles in US growth","year":2009,"lang":"en","type":"article","venue":"INRIA a CCSD electronic archive server","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Bar-Ilan University","keywords":"Public finance; Government (linguistics); State (computer science); Local government; Distribution (mathematics); Economics; Private sector; State government; Public economics; Economic growth; Public administration; Political science; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006132948,0.0002739056,0.0004683868,0.0001621127,0.0001369901,0.00009239052,0.0002436566,0.00008035639,0.00008179896],"category_scores_gemma":[0.000053376,0.000296172,0.00009414925,0.0001505351,0.00008721468,0.0003972291,0.00008847888,0.0003923466,0.0002038557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937054,"about_ca_system_score_gemma":0.00006033255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835862,"about_ca_topic_score_gemma":0.002040108,"domain_scores_codex":[0.9978037,0.00005864529,0.0006546405,0.0005743835,0.00004612333,0.0008624633],"domain_scores_gemma":[0.9993147,0.00008593967,0.000241374,0.0002361421,0.00001029647,0.0001115861],"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":[0.0005155331,0.0003531152,0.1572509,0.00005507574,0.0002151595,0.00001231523,0.003113026,0.001410909,0.000351482,0.8262348,0.001400896,0.009086819],"study_design_scores_gemma":[0.001518136,0.0004650093,0.2216251,0.00002389605,0.000003534518,0.000009286131,0.00006240977,0.02343081,0.0001789705,0.7505395,0.001773734,0.0003696052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756655,0.001157277,0.0008879876,0.0008046871,0.00005544006,0.0002547422,0.00009600489,0.00002566177,0.02105276],"genre_scores_gemma":[0.9977723,0.000239452,0.00008865315,0.00153288,0.00007620399,0.00002102605,0.0000199824,0.00002572413,0.00022376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07569531,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747302746040325,"score_gpt":0.2361292387362123,"score_spread":0.2186562112758091,"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."}}