{"id":"W2260979064","doi":"","title":"State Tax Revenue Shows Broad Strength","year":2006,"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":true,"ca_institutions":"","funders":"","keywords":"Revenue; Quarter (Canadian coin); Tax revenue; State (computer science); Business; Economics; Monetary economics; Finance; Public economics; Geography; Mathematics","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":[0.001226373,0.0002398789,0.0004241639,0.002752556,0.00124188,0.003638679,0.0003506493,0.0006159064,0.01930835],"category_scores_gemma":[0.01104758,0.0001911497,0.0004606399,0.005513244,0.0008627179,0.002089387,0.001523242,0.001564994,0.007324643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324248,"about_ca_system_score_gemma":0.001256853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240762,"about_ca_topic_score_gemma":0.02002124,"domain_scores_codex":[0.9984652,0.0001263664,0.00009087312,0.0002774157,0.0007436103,0.0002966683],"domain_scores_gemma":[0.9896869,0.001450683,0.001862791,0.001055883,0.005273338,0.0006704092],"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":[0.0009303926,0.0002225009,0.288148,0.0002947223,0.0002891373,0.0002896079,0.001925932,0.001452663,0.001939771,0.06338183,0.4792256,0.1618998],"study_design_scores_gemma":[0.00004990847,0.0002968496,0.6542115,0.0002225497,0.0001601119,0.0005471009,0.003584055,0.00137916,0.004381847,0.009574219,0.3255036,0.00008909476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4166597,0.002053309,0.001650655,0.02866678,0.001963919,0.00005371651,0.01486145,0.0006254381,0.533465],"genre_scores_gemma":[0.9437901,0.00106549,0.0005069344,0.003176564,0.0005522965,0.00001828113,0.009470186,0.0001701616,0.04124995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01930835,"threshold_uncertainty_score":0.0645929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072198560775553,"score_gpt":0.1986416574147159,"score_spread":0.1879196718069603,"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."}}