{"id":"W4390677790","doi":"10.36095/banxico/di.2023.20","title":"Efficiency and Incidence of Taxation with Free Entry and Love-of-Variety","year":2023,"lang":"en","type":"report","venue":"","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Variety (cybernetics); Economics; Commodity; Microeconomics; Imperfect competition; Free entry; Welfare; Tax incidence; Ad valorem tax; Public economics; Tax reform; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005094876,0.000117115,0.0005232068,0.0002935182,0.0000201763,0.00001856569,0.0001084629,0.0001111431,0.0007198394],"category_scores_gemma":[0.000276697,0.0001101355,0.00006566991,0.0003311862,0.00008830513,0.00005664224,0.00008543479,0.0000904256,0.00002427277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002455724,"about_ca_system_score_gemma":0.00007971947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036714,"about_ca_topic_score_gemma":0.0003010055,"domain_scores_codex":[0.9988996,0.000006544531,0.0005990278,0.0003070494,0.00009454725,0.00009318654],"domain_scores_gemma":[0.9983507,0.00005379604,0.001125646,0.0003075912,0.0001201259,0.00004217269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003167906,0.0001670508,0.836104,0.001802909,0.0005782055,0.000008518245,0.0008016214,0.0001522438,0.00002031014,0.1461034,0.01218229,0.002047746],"study_design_scores_gemma":[0.001816619,0.0006096142,0.8929896,0.0008108528,0.0003846707,0.00005756796,0.001029424,0.01161763,0.0003488405,0.03295916,0.05580369,0.001572301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1233057,0.008760046,0.0353113,0.000308028,0.0004696699,0.0003318053,0.0005778043,0.00004283397,0.8308928],"genre_scores_gemma":[0.9635246,0.01478665,0.0006544458,0.00002344656,0.00004664023,0.00000492439,0.0000472049,0.00002038175,0.02089167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8402189,"threshold_uncertainty_score":0.7881737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284936530258472,"score_gpt":0.2482028660026617,"score_spread":0.205353500700077,"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."}}