{"id":"W4396849354","doi":"10.3386/w32440","title":"Losing to Gain: Revenue Shortfalls and Fiscal Capacity in Brazil","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Revenue; Economics; Business; Finance","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":[0.001604673,0.0001856795,0.0003158428,0.001141606,0.0007931957,0.002008151,0.0005756058,0.0003463443,0.003403814],"category_scores_gemma":[0.00930184,0.0001773854,0.0003371448,0.001496717,0.001341679,0.00140742,0.001790232,0.0007410767,0.000223219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004271833,"about_ca_system_score_gemma":0.003876894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09214544,"about_ca_topic_score_gemma":0.1149211,"domain_scores_codex":[0.9990063,0.0002404162,0.0000580233,0.00008525141,0.0002365864,0.0003733396],"domain_scores_gemma":[0.9955456,0.00112404,0.001936873,0.0002694985,0.0006918328,0.0004321605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003382061,0.000278479,0.7532918,0.0004134374,0.0002022686,0.001690639,0.008416846,0.02345146,0.00250547,0.1311565,0.005747021,0.07250795],"study_design_scores_gemma":[0.00007665578,0.0002159613,0.8794046,0.0005095277,0.0001570364,0.0008651144,0.01719116,0.01499413,0.001939979,0.04119949,0.04338536,0.00006093124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707623,0.001020725,0.0005183361,0.002814305,0.00001206517,0.00002448177,0.0005437762,0.00002512447,0.02427896],"genre_scores_gemma":[0.9990082,0.0002701503,0.00007617191,0.00003744751,0.000004624771,0.000002830462,0.0000776965,0.000004964494,0.0005179814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09214544,"threshold_uncertainty_score":0.1832182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4365047022016754,"score_gpt":0.4645519352391138,"score_spread":0.02804723303743833,"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."}}