{"id":"W1994493754","doi":"10.1007/s00199-003-0433-9","title":"Selective penalization of polluters: an inf-convolution approach","year":2004,"lang":"en","type":"article","venue":"Economic Theory","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Oligopoly; Distortion (music); Public finance; Variance (accounting); Index (typography); Microeconomics; Tax rate; Marginal cost; Unit (ring theory); Econometrics; Mathematical economics; Monetary economics; Mathematics; Macroeconomics; Cournot competition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007725755,0.0001687034,0.0004024665,0.0002729796,0.00009359107,0.00003426447,0.0002630083,0.0001372186,0.0001873751],"category_scores_gemma":[0.00004321642,0.0002133531,0.0001260448,0.0000860956,0.0001407188,0.0007205676,0.0000428613,0.0001147411,0.0005696919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338963,"about_ca_system_score_gemma":0.00005465126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268177,"about_ca_topic_score_gemma":0.00001998403,"domain_scores_codex":[0.9985564,0.00003326706,0.0006884959,0.0004297609,0.00001227086,0.0002798487],"domain_scores_gemma":[0.9990558,0.00003171741,0.0004571578,0.0003505918,0.00001132713,0.00009341384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005489433,0.00009553603,0.003275633,0.00002109715,0.00005737632,1.402418e-7,0.001338331,0.003952354,0.00003789265,0.9908437,0.00008879195,0.0002343069],"study_design_scores_gemma":[0.001003139,0.0001180061,0.0191223,0.000007730879,0.000006659458,0.00000577208,0.0002524941,0.001890016,0.0008445425,0.9759558,0.000519459,0.0002740268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7666578,0.0003240141,0.02609508,0.0001661417,0.0004479609,0.0002844261,0.0002307398,0.00007139692,0.2057225],"genre_scores_gemma":[0.9983245,0.00001473718,0.0008843447,0.0002277797,0.0002565923,0.00001992366,0.00005116516,0.00003145521,0.0001895636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2316667,"threshold_uncertainty_score":0.8700287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054639801127703,"score_gpt":0.2078418477590748,"score_spread":0.1872954497477978,"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."}}