{"id":"W4411618347","doi":"10.51847/21zhovqepu","title":"10.51847/21zHoVQePu","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tax revenue; Fuzzy logic; Revenue; Tax policy; Business; Tax credit; Public economics; Economics; Computer science; Tax reform; Artificial intelligence; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007394546,0.001059623,0.0008551893,0.002047465,0.001425107,0.003835764,0.001016247,0.001868361,0.9124302],"category_scores_gemma":[0.001286795,0.0003637565,0.0006500587,0.001815587,0.0007626637,0.002090229,0.003405159,0.001393861,0.8527038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566005,"about_ca_system_score_gemma":0.0008548041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129587,"about_ca_topic_score_gemma":0.0005991394,"domain_scores_codex":[0.9994003,0.000102407,0.00005985679,0.0001834469,0.0001865075,0.00006761157],"domain_scores_gemma":[0.9993113,0.0001577523,0.00004111048,0.0001375077,0.0002065786,0.0001457189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002313349,0.0002184063,0.001463164,0.0008622415,0.00002790079,0.000419374,0.0002623173,0.0004388496,0.003248309,0.0122589,0.2124075,0.7681618],"study_design_scores_gemma":[0.00002644689,0.00006605368,0.001251417,0.0003032685,0.0000119454,0.000506612,0.0002059114,0.0004582306,0.0006441319,0.002495426,0.9940072,0.00002331888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003207878,0.002031418,0.003052263,0.001228447,0.001281538,0.0001755262,0.001655213,0.00174207,0.9856257],"genre_scores_gemma":[0.01626612,0.001776051,0.003298424,0.0009825869,0.0003542454,0.0001954069,0.002243795,0.0005260675,0.9743572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08756977,"threshold_uncertainty_score":0.1249077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586312304192736,"score_gpt":0.1696661360868759,"score_spread":0.1538030130449485,"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."}}