{"id":"W3036558307","doi":"10.3386/w27409","title":"Salience and Taxation with Imperfect Competition","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Booth School of Business, University of Chicago; University of Chicago","keywords":"Salience (neuroscience); Imperfect competition; Competition (biology); Economics; Imperfect; Psychology; Microeconomics; Cognitive psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001778052,0.0004948286,0.001017924,0.000849119,0.000837619,0.002527116,0.0009925409,0.001148538,0.005379174],"category_scores_gemma":[0.007950854,0.0005744023,0.001000704,0.0008715932,0.002426249,0.004085166,0.00170469,0.001835711,0.0003490404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003379835,"about_ca_system_score_gemma":0.001817363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629404,"about_ca_topic_score_gemma":0.009232376,"domain_scores_codex":[0.9989086,0.0004233612,0.00004492413,0.0001740911,0.0001911793,0.0002578931],"domain_scores_gemma":[0.9948762,0.002266873,0.001839413,0.0004095655,0.0002853578,0.0003225068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002410611,0.0003898781,0.02231899,0.00009786958,0.0001311871,0.0006745258,0.0003875274,0.3297983,0.001124398,0.6292459,0.002048359,0.0135421],"study_design_scores_gemma":[0.0002452259,0.0001763665,0.01134821,0.00005280188,0.00007368243,0.0002886779,0.0003433262,0.5924047,0.0004281636,0.3913064,0.00326244,0.00006990291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769017,0.0006207957,0.07400781,0.003492759,0.00006779299,0.0001440659,0.0002881352,0.00007102266,0.0444058],"genre_scores_gemma":[0.994607,0.0001775244,0.002072073,0.00008390939,0.00003104304,0.00001326293,0.00003976767,0.000006443906,0.002968979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01629404,"threshold_uncertainty_score":0.0323984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3535219101937921,"score_gpt":0.4458104186352723,"score_spread":0.09228850844148018,"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."}}