{"id":"W2262095499","doi":"","title":"Tax Increases Shore Up State Revenue","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Tax revenue; Revenue; State (computer science); Economics; Shore; Business; Geography; Finance; Public economics; Fishery; Mathematics; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008267841,0.0002141541,0.0001731759,0.0009417344,0.002518385,0.004471909,0.0003844421,0.001692432,0.01840924],"category_scores_gemma":[0.007998381,0.0001840485,0.0005565525,0.000887438,0.0009766918,0.002741377,0.00136616,0.003554218,0.003208169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088421,"about_ca_system_score_gemma":0.003681243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01827697,"about_ca_topic_score_gemma":0.03593511,"domain_scores_codex":[0.9988278,0.0001555346,0.00006367974,0.0001497054,0.0005316648,0.0002716071],"domain_scores_gemma":[0.9967818,0.001136276,0.0003436283,0.0002524518,0.001237924,0.0002478524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006864603,0.00006244347,0.01012143,0.00006581284,0.0000312876,0.0003776436,0.001638368,0.0003687369,0.0007318799,0.2134393,0.7138918,0.05920261],"study_design_scores_gemma":[0.00002079124,0.00006683901,0.01699505,0.0001733986,0.00002938978,0.0001926647,0.002209385,0.0006347251,0.002876205,0.01523305,0.9615389,0.00002970053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06803475,0.001928258,0.002019803,0.2905269,0.007938504,0.00002824151,0.001572133,0.000484183,0.6274672],"genre_scores_gemma":[0.6331249,0.004601677,0.00154147,0.08130502,0.005243296,0.00003823382,0.001098493,0.000301608,0.2727453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01840924,"threshold_uncertainty_score":0.06158507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654399296452333,"score_gpt":0.2098567737292724,"score_spread":0.1933127807647491,"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."}}