{"id":"W2127847490","doi":"10.3905/jot.2007.694833","title":"Anonymity, Frontrunning and Market Integrity","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anonymity; Business; Blockchain; Internet privacy; Law and economics; Computer security; Computer science; Economics","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":[0.002552193,0.0001611123,0.0003210072,0.001216643,0.001316999,0.003477082,0.0004634844,0.0006675597,0.00471494],"category_scores_gemma":[0.02302775,0.0001602208,0.0002098271,0.001115109,0.003397229,0.003412907,0.001474856,0.0007271833,0.000405013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108559,"about_ca_system_score_gemma":0.001055254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005111154,"about_ca_topic_score_gemma":0.005125409,"domain_scores_codex":[0.9971282,0.001032224,0.0002510109,0.0002514359,0.001016798,0.000320313],"domain_scores_gemma":[0.9530825,0.01831036,0.0196606,0.005319941,0.002320361,0.001306252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002048582,0.0004837735,0.5688106,0.0003179115,0.0002557189,0.001591849,0.0184078,0.00694428,0.00918692,0.1389813,0.00306369,0.2499076],"study_design_scores_gemma":[0.0001175134,0.000718685,0.7415917,0.0002558879,0.0002005397,0.002676862,0.01623817,0.01586913,0.0113672,0.1768294,0.03392692,0.0002080492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728478,0.0007395556,0.004331574,0.0007902206,0.00001513302,0.00001600821,0.00009191799,0.00003611313,0.02113172],"genre_scores_gemma":[0.9984693,0.00008892941,0.0003661437,0.00001904531,0.00001188688,0.000001677384,0.00002098385,0.00000357604,0.001018504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005111154,"threshold_uncertainty_score":0.01577306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04047810773319774,"score_gpt":0.2339907925402465,"score_spread":0.1935126848070488,"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."}}