{"id":"W4367852473","doi":"10.1111/bjir.12747","title":"Labour market impacts of occupational licensing and delicensing: New evidence from China","year":2023,"lang":"en","type":"article","venue":"British Journal of Industrial Relations","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Wage; Labour economics; China; Certification; Hourly wage; Demographic economics; Business; License; Work (physics); Economics; Occupational licensing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009445445,0.00009502454,0.0003098752,0.0003204469,0.000180983,0.00008950926,0.00009790229,0.0001819087,0.0005647544],"category_scores_gemma":[0.003061421,0.0001183144,0.00009498824,0.0005082136,0.00005111901,0.000670352,0.00004276942,0.0003320091,0.00004044015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006664691,"about_ca_system_score_gemma":0.0002684269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196675,"about_ca_topic_score_gemma":0.00008291045,"domain_scores_codex":[0.998491,0.00005922217,0.0009884947,0.0001611474,0.000150417,0.0001496752],"domain_scores_gemma":[0.9978091,0.0006715176,0.001082289,0.00008621043,0.0002072196,0.0001437064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004495775,0.00005668855,0.9071919,0.00001131044,0.0001569375,0.00002803264,0.0006105219,0.001318626,0.0002399614,0.008949537,0.05188347,0.02910343],"study_design_scores_gemma":[0.0008349715,0.00004876933,0.9799978,0.0008372982,0.00001879132,0.00007975285,0.00004036034,0.001205249,0.00003461778,0.01469993,0.002087479,0.0001149826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942874,0.002210096,0.000587976,0.00138718,0.0006924701,0.00009596987,0.0002512514,0.00001399162,0.0004736395],"genre_scores_gemma":[0.9954637,0.0004491339,0.002279761,0.00003649076,0.0007727633,3.445058e-7,0.00003881783,0.00001385972,0.0009450777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0728059,"threshold_uncertainty_score":0.6183665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079016697250889,"score_gpt":0.2943510501482303,"score_spread":0.1864493804231414,"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."}}