{"id":"W2901248590","doi":"10.1287/mnsc.2018.3182","title":"Regulations and Brain Drain: Evidence from Wall Street Star Analysts’ Career Choices","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Equity (law); Investment banking; Business; Revenue; Finance; Unintended consequences; Star (game theory); Investment (military); Accounting; Political science","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":[0.0008054178,0.0001303077,0.0002060502,0.0002991789,0.0002132401,0.0003312327,0.000478052,0.00003021791,0.0003987511],"category_scores_gemma":[0.00007495872,0.0001352172,0.00003938988,0.0006190481,0.0002606515,0.001254972,0.000230288,0.00005948006,0.0002106814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007700921,"about_ca_system_score_gemma":0.00001486434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385096,"about_ca_topic_score_gemma":0.0001707218,"domain_scores_codex":[0.9985833,0.00001030396,0.0003158375,0.0006627059,0.0001228765,0.0003049877],"domain_scores_gemma":[0.9991796,0.00006778523,0.0001773312,0.0004750483,0.0000236127,0.00007663479],"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":[0.000005416278,0.00002097778,0.4282067,0.0000349301,0.00002322764,0.000002221261,0.0003113501,0.0001295572,0.00007745202,0.5692575,0.001171149,0.0007594967],"study_design_scores_gemma":[0.0001989012,0.00005359542,0.936465,0.00005607538,0.000006713128,9.209236e-8,0.0002477098,0.007838221,0.00002021377,0.03070247,0.02420329,0.0002077587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342843,0.001032868,0.0003118896,0.001992395,0.0002714278,0.0003239554,0.00003148757,0.00003436364,0.06171729],"genre_scores_gemma":[0.9933773,0.0002316747,0.001534672,0.0007121183,0.0000306783,0.00001451332,0.00000662283,0.000007431818,0.004085012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.538555,"threshold_uncertainty_score":0.5513998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392303514134496,"score_gpt":0.2297615882483375,"score_spread":0.1905312368348879,"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."}}