{"id":"W4408154710","doi":"10.6000/1929-4409.2025.14.07","title":"Blockchain Forensics - Unmasking Anonymity in Dark Web Transactions","year":2025,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anonymity; Blockchain; Deep Web; Computer security; Internet privacy; Web application; Computer science; World Wide Web; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002604784,0.0002784604,0.0003592389,0.002529392,0.001236608,0.002442881,0.0006222898,0.001189238,0.00209147],"category_scores_gemma":[0.01392583,0.0002390756,0.0002546456,0.00162623,0.001688912,0.004833388,0.002102765,0.000926259,0.0005893981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008765307,"about_ca_system_score_gemma":0.001403805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752635,"about_ca_topic_score_gemma":0.002041547,"domain_scores_codex":[0.997801,0.0009037788,0.00007686076,0.0001977655,0.0007552053,0.0002654238],"domain_scores_gemma":[0.9884926,0.006024463,0.001672886,0.002277421,0.001217659,0.0003149341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001710377,0.0006495659,0.090328,0.0006881126,0.0002032311,0.003913226,0.007461721,0.1013233,0.05685204,0.210043,0.00705268,0.5197747],"study_design_scores_gemma":[0.0000739734,0.0003646183,0.02420278,0.0005445359,0.00009796203,0.003594788,0.006831082,0.6638464,0.0788592,0.1933207,0.02810558,0.0001583934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311509,0.001192325,0.1449516,0.00170237,0.0001226053,0.0002310569,0.0003299889,0.0008498667,0.01946922],"genre_scores_gemma":[0.9834193,0.000316471,0.01406506,0.00007343103,0.00001944808,0.00002552697,0.00008981938,0.00004196134,0.001948874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002604784,"threshold_uncertainty_score":0.01377559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216281923741985,"score_gpt":0.3104296686562041,"score_spread":0.2782668494187843,"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."}}