{"id":"W1965009509","doi":"10.1016/j.jempfin.2012.01.001","title":"Does information vault Niagara Falls? Cross-listed trading in New York and Toronto","year":2012,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fujian Key Laboratory of Statistical Science; Key Laboratory of Econometrics; Kwanjeong Educational Foundation","keywords":"Stock exchange; Cross listing; Stock (firearms); Business; Asset (computer security); Private information retrieval; Financial economics; Economics; Finance; Geography; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005946828,0.0001342421,0.0003989503,0.0001094504,0.00006030867,0.0001338908,0.0001495253,0.0001180713,0.00008730184],"category_scores_gemma":[0.0002159467,0.000100774,0.00008539693,0.000156602,0.00005378539,0.003225126,0.00002398863,0.0001912217,0.00001938815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693691,"about_ca_system_score_gemma":0.00005329269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002975272,"about_ca_topic_score_gemma":0.0000660149,"domain_scores_codex":[0.9985545,0.00001331028,0.0009740263,0.0001025284,0.00006024535,0.0002954184],"domain_scores_gemma":[0.9990451,0.000059254,0.0006418912,0.0001080987,0.00003295827,0.000112733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001191555,0.0001158517,0.8922485,0.00004231366,0.00001699157,0.000003111218,0.003548578,0.00002243757,0.000007892429,0.08374077,0.01158046,0.008553955],"study_design_scores_gemma":[0.000652942,0.0001135953,0.7191336,0.00004931553,0.000002704217,0.000009770648,0.00009764663,0.000188287,0.00001752146,0.008495308,0.2710893,0.0001500214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714559,0.01127292,0.0005219137,0.0006764403,0.001019383,0.00009861252,0.00001415672,0.000007358545,0.01493326],"genre_scores_gemma":[0.9959618,0.001188112,0.001435652,0.0005766265,0.0003296765,0.000001776635,0.000001450756,0.000007945124,0.0004969054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2595088,"threshold_uncertainty_score":0.4109444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05249852174228836,"score_gpt":0.2860974347949028,"score_spread":0.2335989130526145,"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."}}