{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366067,0.0001051354,0.0003289601,0.000734402,0.001785022,0.003144704,0.0006161362,0.000742164,0.007041309],"category_scores_gemma":[0.00418144,0.0001778328,0.0002195584,0.001514079,0.0008217953,0.001481047,0.001086884,0.001220655,0.0003879106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043572,"about_ca_system_score_gemma":0.006553832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413267,"about_ca_topic_score_gemma":0.9833115,"domain_scores_codex":[0.9995732,0.00004709955,0.00002595747,0.00005563674,0.00009676281,0.0002013981],"domain_scores_gemma":[0.9958116,0.0008032178,0.001232713,0.0001675878,0.0007890295,0.001195879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003117069,0.00004913655,0.9346241,0.00005554552,0.0001400742,0.001111204,0.0152938,0.0006587092,0.0003569162,0.01184161,0.02159801,0.0139593],"study_design_scores_gemma":[0.00001444086,0.00001853109,0.9647852,0.00006926167,0.00006422355,0.0001188699,0.02097078,0.001329942,0.0002028371,0.0005321265,0.01187203,0.00002177151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751637,0.001696064,0.00006800873,0.009432578,0.00005012459,0.000007090613,0.00117607,0.00001016318,0.01239616],"genre_scores_gemma":[0.9953973,0.0004060048,0.00001565187,0.0001132211,0.00001775958,0.000001347948,0.0002389496,0.00000417204,0.003805522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05867332,"threshold_uncertainty_score":0.1180376,"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."}}