{"id":"W1567630625","doi":"","title":"PROTECTING MARKET INTEGRITY IN AN ERA OF FRAGMENTATION AND CROSS BORDER TRADING","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Business; Market microstructure; Alternative trading system; Market liquidity; Insider trading; Flash trading; Market manipulation; Emerging markets; Algorithmic trading; Stock market; Industrial organization; Dark liquidity; Order (exchange); Finance","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":[0.01903519,0.0001888628,0.000481153,0.001726572,0.003837178,0.01412365,0.001668967,0.005299831,0.002858436],"category_scores_gemma":[0.04327699,0.0003728411,0.0005213475,0.00204203,0.01742109,0.01219301,0.0090096,0.005051831,0.0006033111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004432002,"about_ca_system_score_gemma":0.006119544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031507,"about_ca_topic_score_gemma":0.003443421,"domain_scores_codex":[0.9810885,0.00730463,0.001120271,0.001982625,0.006776331,0.001727572],"domain_scores_gemma":[0.9518899,0.01705855,0.01281175,0.01093739,0.005468798,0.001833559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000085016,0.00007552528,0.01159458,0.0001710551,0.00006269596,0.0006329765,0.01805745,0.002120743,0.00268208,0.8660985,0.007477357,0.09094194],"study_design_scores_gemma":[0.00003973471,0.0002381826,0.03463332,0.00137634,0.00006040664,0.001235624,0.01181421,0.003603176,0.003535237,0.678616,0.2647349,0.0001128052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4713945,0.02066183,0.06986885,0.1704693,0.0008920886,0.0001423298,0.0001573453,0.0003268994,0.2660869],"genre_scores_gemma":[0.9828565,0.001940326,0.004284948,0.005830494,0.0003953056,0.00002282729,0.00003157819,0.00004188563,0.004596131],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01903519,"threshold_uncertainty_score":0.1006689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086734681352165,"score_gpt":0.3028952930059678,"score_spread":0.2920279461924462,"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."}}