{"id":"W4283661215","doi":"10.1017/s0022109023000352","title":"The Effects of a U.S. Approach to Enforcement: Evidence from China","year":2023,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Higher Education Discipline Innovation Project","keywords":"Enforcement; Incentive; China; Stock exchange; Business; Stock (firearms); Information asymmetry; CLs upper limits; Sample (material); Stock price; Point (geometry); Monetary economics; Accounting; Economics; Finance; Microeconomics; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007460379,0.0001927112,0.0003053,0.001244309,0.00123384,0.001827385,0.0006356463,0.0006994705,0.001580509],"category_scores_gemma":[0.01262791,0.000212094,0.0003308466,0.001837214,0.001891876,0.0005743859,0.001173136,0.0007769754,0.0001177345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722741,"about_ca_system_score_gemma":0.005358333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349058,"about_ca_topic_score_gemma":0.1526741,"domain_scores_codex":[0.9948548,0.001791785,0.0004511375,0.0005503541,0.001531874,0.0008199438],"domain_scores_gemma":[0.9610959,0.007930061,0.02120788,0.002912576,0.004873356,0.001980377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002050784,0.0003081163,0.975253,0.00008388608,0.0001431189,0.0003125551,0.002249401,0.0006996376,0.0007983573,0.00173484,0.001253803,0.0169581],"study_design_scores_gemma":[0.00003305371,0.000164438,0.9942473,0.00003932119,0.00005838665,0.0000394407,0.001633966,0.001073199,0.0005775637,0.0001612622,0.001954031,0.00001807036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966301,0.0002600148,0.0001029973,0.0006750842,0.00001692017,0.00002829467,0.0000955509,0.000006223082,0.002184929],"genre_scores_gemma":[0.9991612,0.0001072427,0.0000575898,0.0002029496,0.00001322377,0.000007074421,0.00006238664,0.000001066904,0.0003871893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349058,"threshold_uncertainty_score":0.2682412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613005612924677,"score_gpt":0.2517541823782004,"score_spread":0.2356241262489536,"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."}}