{"id":"W4387586585","doi":"10.2139/ssrn.4587312","title":"Spatial Productivity Differences and Government Rent-Seeking","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Productivity; Government (linguistics); Rent-seeking; Natural resource economics; Business; Economics; Agricultural economics; Environmental science; Geography; Political science; Economic growth; Politics","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":[0.0007039566,0.0001240955,0.0002822463,0.0006405718,0.000310676,0.001595077,0.0002449324,0.0004609413,0.0130976],"category_scores_gemma":[0.006273784,0.0001109274,0.0002694093,0.001352508,0.0007635007,0.0009518906,0.0008614361,0.0004179725,0.000804767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133212,"about_ca_system_score_gemma":0.0004920447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399273,"about_ca_topic_score_gemma":0.01901726,"domain_scores_codex":[0.9996929,0.0000755324,0.00002391664,0.00004264391,0.00004406594,0.0001208868],"domain_scores_gemma":[0.9954573,0.001995588,0.001347042,0.0003902229,0.0003007431,0.0005092424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001167186,0.000311061,0.8613355,0.0001084341,0.0002291269,0.0006305695,0.001444439,0.01914882,0.002479135,0.08566193,0.002787294,0.02469652],"study_design_scores_gemma":[0.00008106049,0.0001688777,0.9224687,0.00002795349,0.0001186556,0.0003606991,0.005862955,0.01060088,0.001030381,0.05497251,0.004278254,0.00002910676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918388,0.0002314375,0.0003813537,0.0004158229,0.000006172574,0.00000331155,0.0002683292,0.000008303065,0.00684647],"genre_scores_gemma":[0.9989789,0.00005453031,0.00003492997,0.000008939815,0.000005347068,6.426345e-7,0.00005229546,0.000001768938,0.0008627744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01399273,"threshold_uncertainty_score":0.04381591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127210945828125,"score_gpt":0.2039949868214607,"score_spread":0.1827228773631794,"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."}}