{"id":"W4387075242","doi":"10.1145/3605768.3623546","title":"Why Trick Me: The Honeypot Traps on Decentralized Exchanges","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Honeypot; Database transaction; Computer security; Software deployment; Computer science; Market liquidity; Business; Database; Finance; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005194412,0.0002800804,0.0003169299,0.0002211982,0.0002528758,0.00018614,0.003593974,0.0004921863,0.00005136826],"category_scores_gemma":[0.00005127349,0.0001846537,0.0001747237,0.0006906324,0.0001322772,0.00003475979,0.001798222,0.0009085037,0.0002213848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004813938,"about_ca_system_score_gemma":0.00006809587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002078919,"about_ca_topic_score_gemma":0.0001848357,"domain_scores_codex":[0.9980631,0.0001136818,0.0002813941,0.0008385903,0.0003156483,0.0003875719],"domain_scores_gemma":[0.996962,0.0002828436,0.0001499814,0.002461413,0.00007335477,0.000070375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005830532,0.0001511837,0.00002032716,0.00003179903,0.00008127125,0.000008646425,0.000708445,0.00005423594,0.00003015159,0.6989591,0.2310865,0.06886251],"study_design_scores_gemma":[0.0005016813,0.00007839894,0.0008173424,0.00006686093,0.0000342679,0.00001010107,0.0001184028,0.03793805,0.002584402,0.4857442,0.4714915,0.0006148106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004067508,0.0009256859,0.7635839,0.2228993,0.00131734,0.001345219,0.00002402607,0.003381357,0.002455633],"genre_scores_gemma":[0.830788,0.01362615,0.09367006,0.04323614,0.0007354368,0.006402445,0.0001286924,0.0002098354,0.01120328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8267205,"threshold_uncertainty_score":0.7529961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445365081725878,"score_gpt":0.2784567834662622,"score_spread":0.2340031326490035,"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."}}