{"id":"W3125710503","doi":"10.1111/j.1540-6261.2008.01402.x","title":"“You Can Enter but You Cannot Leave…”: U.S. Securities Markets and Foreign Firms","year":2008,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Social Sciences and Humanities Research Council; Natural Sciences and Engineering Research Council of Canada; Alberta Medical Association","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta","keywords":"Listing (finance); Commission; Business; Capital market; Cross listing; Insider; Investor protection; Insider trading; Accounting; Initial public offering; Net capital rule; Monetary economics; Finance; Economics; Capital flows; Market economy; Corporate governance; Law","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":[0.0004285313,0.0001651192,0.0002582368,0.00007421321,0.0002682727,0.00005612048,0.0003252191,0.00004291507,0.00003739369],"category_scores_gemma":[0.00006735204,0.000114025,0.00007533097,0.0002035602,0.0001678566,0.0007601724,0.00008185929,0.0002373296,0.00001672831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002667618,"about_ca_system_score_gemma":0.00005253159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000539102,"about_ca_topic_score_gemma":0.0001450609,"domain_scores_codex":[0.9989731,0.00001372365,0.0003659562,0.0001133663,0.0002796411,0.0002541602],"domain_scores_gemma":[0.9988165,0.00004097523,0.0007542713,0.0001898319,0.0001877079,0.00001065118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001753387,0.0002462476,0.5459577,0.0004596006,0.000145656,0.001315206,0.001882245,0.0004108929,0.000953982,0.0144452,0.4053516,0.02707822],"study_design_scores_gemma":[0.0009681736,0.00004621961,0.7274672,0.0002750787,0.00004961865,0.0004529335,0.0002085115,0.0002087264,0.0002490063,0.002959974,0.2668722,0.0002424104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909774,0.00234365,0.0001436344,0.002685485,0.0002787277,0.00008786521,0.00001302245,0.00001042064,0.003459799],"genre_scores_gemma":[0.9911121,0.002914577,0.00004524177,0.001773588,0.0009608546,0.000002166928,0.0000010762,0.00001768169,0.003172688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1815094,"threshold_uncertainty_score":0.4649805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508861668077112,"score_gpt":0.183763050424839,"score_spread":0.1686744337440679,"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."}}