{"id":"W4401814899","doi":"10.1145/3689631","title":"Exposing Stealthy Wash Trading on Automated Market Maker Exchanges","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005445412,0.0003284574,0.0003403026,0.001260973,0.0003337735,0.0008693049,0.0003222841,0.0005269726,0.001443441],"category_scores_gemma":[0.002650753,0.0001111621,0.0001743474,0.0007721345,0.0003117277,0.00162285,0.001040585,0.0003347336,0.0004174262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451974,"about_ca_system_score_gemma":0.0002336595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018564,"about_ca_topic_score_gemma":0.001263039,"domain_scores_codex":[0.9993545,0.0001348078,0.00003905929,0.000123255,0.0002548064,0.00009344841],"domain_scores_gemma":[0.9984677,0.0005893633,0.0004040243,0.0002998574,0.0001684865,0.00007052544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001213349,0.0003164011,0.3971056,0.0003752071,0.0002228318,0.005825005,0.001958094,0.05872942,0.11056,0.01542757,0.006567225,0.4016993],"study_design_scores_gemma":[0.00003874863,0.000320336,0.1423322,0.00007789778,0.00008388705,0.003665532,0.001095107,0.7566491,0.06855316,0.01263953,0.01448107,0.00006340164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564515,0.0003038063,0.03598797,0.0001187513,0.00002091437,0.00005766696,0.000584247,0.0008296502,0.005645518],"genre_scores_gemma":[0.9922883,0.00006346829,0.006283574,0.00003001872,0.0000085671,0.00001370254,0.0003461948,0.00001578691,0.0009503544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443441,"threshold_uncertainty_score":0.004828811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599619261105752,"score_gpt":0.2689397473818751,"score_spread":0.2529435547708176,"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."}}