{"id":"W2787932585","doi":"","title":"The US FTC discusses the impact of licensure on occupations from nursing to accounting and describes how it evaluates the potential competitive effects of regulating professions","year":2014,"lang":"en","type":"article","venue":"e-Competitions Bulletin","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartel; Licensure; Occupational licensing; Accounting; Business; Economics; Political science; Nursing; Incentive; Medicine; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007285144,0.000162031,0.0002546761,0.00009674053,0.001239013,0.0001102935,0.0002192293,0.00006527995,0.0001564051],"category_scores_gemma":[0.001053857,0.00008775605,0.0001432006,0.0002423784,0.0002629534,0.00008152045,0.00007132513,0.0001947175,0.00004620519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005411031,"about_ca_system_score_gemma":0.00003408999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002686588,"about_ca_topic_score_gemma":0.00003726848,"domain_scores_codex":[0.9987686,0.0002238337,0.0004246064,0.0002492305,0.0001341591,0.0001995669],"domain_scores_gemma":[0.9962484,0.002696561,0.0004891188,0.0003350039,0.0001869792,0.00004388782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004632301,0.0007221008,0.1083263,0.0001258777,0.0004862406,6.835475e-7,0.009468935,0.01278258,0.005940876,0.8362971,0.01858531,0.006800743],"study_design_scores_gemma":[0.0003351393,0.0001178019,0.9715663,0.0007760624,0.00003416738,0.000001658283,0.0007530142,0.003238782,0.0004545978,0.01899068,0.003585106,0.0001466826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543862,0.0003227541,0.001364808,0.03967879,0.0003873679,0.0005890711,0.0002538055,0.00001820109,0.002999018],"genre_scores_gemma":[0.9982851,0.00002143342,0.0008384997,0.0001887864,0.0002278537,0.0000408526,0.00006226474,0.00001678961,0.0003184413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.86324,"threshold_uncertainty_score":0.9529611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544586835244895,"score_gpt":0.2660361022430501,"score_spread":0.2505902338906012,"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."}}