{"id":"W3047184129","doi":"10.5267/j.ac.2020.7.016","title":"The empirical analysis of fiscal illusion","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Illusion; Keynesian economics; Psychology; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001730702,0.0001685738,0.0002398855,0.002309988,0.0006579768,0.001214776,0.0004403417,0.0002350237,0.002809389],"category_scores_gemma":[0.01619838,0.0001202646,0.0002292259,0.003814083,0.001276261,0.001219579,0.001399003,0.0008544726,0.0001594624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234486,"about_ca_system_score_gemma":0.001577236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02946088,"about_ca_topic_score_gemma":0.02561809,"domain_scores_codex":[0.9989222,0.0002344271,0.0001404397,0.0001297884,0.0003524142,0.0002208146],"domain_scores_gemma":[0.9793815,0.004155057,0.01292056,0.0008097916,0.002127302,0.0006058411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003870384,0.00002634889,0.9893965,0.00004826984,0.00004064748,0.0001320666,0.001142195,0.0003193932,0.00007358441,0.001662157,0.0004134391,0.006706675],"study_design_scores_gemma":[0.000002466634,0.00001836819,0.9908948,0.00005153721,0.00002010592,0.00007285337,0.005361134,0.0008052755,0.0001251355,0.0005812741,0.002060843,0.000006316997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949653,0.0003365622,0.0002316253,0.0005505395,0.000006780023,0.00001513849,0.000360724,0.000004605417,0.003528776],"genre_scores_gemma":[0.9992858,0.0001531482,0.00008040305,0.00002096207,0.000006640251,0.000005250157,0.0002082807,0.000001123378,0.0002384605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02946088,"threshold_uncertainty_score":0.05857879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137388538728847,"score_gpt":0.2632998714510978,"score_spread":0.1495610175782132,"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."}}