{"id":"W2066641890","doi":"10.2139/ssrn.1933627","title":"Dressing Up for Premium: A New Perspective on Cross-Listing from China","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Perspective (graphical); China; Listing (finance); Business; Economics; Financial economics; Finance; Political science; Computer science; Law; Artificial intelligence","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":[0.0007131069,0.0003546429,0.0004479828,0.001878987,0.002996805,0.003730125,0.0006797256,0.001633216,0.005287673],"category_scores_gemma":[0.0009136992,0.000139441,0.0003931622,0.002419128,0.002360314,0.002608229,0.00155597,0.001897812,0.0001450114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005006603,"about_ca_system_score_gemma":0.004313048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1160501,"about_ca_topic_score_gemma":0.1928256,"domain_scores_codex":[0.999568,0.00004896236,0.00001825317,0.00007603782,0.00008595884,0.0002028607],"domain_scores_gemma":[0.9994041,0.00007966559,0.0001609929,0.00003823549,0.0001139071,0.000203223],"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":[0.0001599256,0.0002381678,0.1227941,0.0002411083,0.00009352704,0.007816225,0.02960949,0.001880748,0.002005185,0.7350256,0.01655296,0.08358297],"study_design_scores_gemma":[0.00009833248,0.0005035216,0.4307816,0.000914451,0.0002377143,0.002137021,0.04926482,0.01616766,0.002253566,0.2597552,0.2375377,0.0003484065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670037,0.01067875,0.002119482,0.02195385,0.0002554416,0.0000475004,0.0002045328,0.00002849939,0.0977082],"genre_scores_gemma":[0.9823936,0.002303101,0.0002960407,0.001298897,0.0001271872,0.00000558896,0.0000648915,0.000008171086,0.01350249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160501,"threshold_uncertainty_score":0.2307493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911208556027997,"score_gpt":0.2702387941021637,"score_spread":0.2511267085418837,"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."}}