{"id":"W4411618144","doi":"10.51847/imggmu59pj","title":"10.51847/imgGMu59pJ","year":2000,"lang":"en","type":"article","venue":"Time to knit","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; Metropolitan area; Tax revenue; Business; Government (linguistics); Finance; Public economics; Economics; Geography","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":[0.000558907,0.001356351,0.0006572555,0.002364784,0.0007877368,0.002511043,0.0009767495,0.003187549,0.9661584],"category_scores_gemma":[0.001215965,0.000468387,0.0004439696,0.00282334,0.0007843859,0.001951232,0.001780695,0.0009663174,0.9763658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007186764,"about_ca_system_score_gemma":0.0004774163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003680874,"about_ca_topic_score_gemma":0.002412418,"domain_scores_codex":[0.9997104,0.00004268991,0.00002387941,0.00009197456,0.00006561739,0.00006542911],"domain_scores_gemma":[0.9993747,0.0001684941,0.00006404237,0.0001264736,0.0001257403,0.0001406406],"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":[0.0002645125,0.0002437029,0.002264483,0.0003923515,0.000015405,0.0003229538,0.0001304252,0.0003893064,0.001556752,0.004865961,0.3397674,0.6497868],"study_design_scores_gemma":[0.00006111518,0.00005503412,0.002522586,0.0003223538,0.0000156701,0.0003569869,0.0001728004,0.0005538338,0.0006054634,0.001664881,0.9936487,0.00002057208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002849621,0.0007240666,0.001721031,0.001453933,0.0005113869,0.0001240903,0.003468184,0.002461093,0.9866865],"genre_scores_gemma":[0.006631357,0.0004127843,0.001062053,0.0005125415,0.00008940625,0.00006906001,0.001591026,0.0003020545,0.9893296],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03384155,"threshold_uncertainty_score":0.04827088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159819265843223,"score_gpt":0.1696145488495368,"score_spread":0.1536326222652145,"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."}}