{"id":"W2902418734","doi":"10.25246/direitoedesenvolvimento.v9i2.900","title":"Dark web and bitcoin: an analysis of the impact of digital anonymate and criptomoids in the practice of money laundering crime","year":2018,"lang":"en","type":"article","venue":"Direito e Desenvolvimento","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Langara College","funders":"","keywords":"Money laundering; Anonymity; Hacker; The Internet; Deep Web; Payment; Computer security; Business; Process (computing); Commerce; Internet privacy; Computer science; World Wide Web; 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":[0.003581997,0.0002864966,0.0004063886,0.005346029,0.005081879,0.005980582,0.0008354914,0.001663579,0.005308417],"category_scores_gemma":[0.01633,0.0002145649,0.0003205955,0.006545796,0.01357477,0.00711113,0.004413582,0.002376959,0.0003946603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00594861,"about_ca_system_score_gemma":0.004428702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100907,"about_ca_topic_score_gemma":0.01172415,"domain_scores_codex":[0.99271,0.004191497,0.000171414,0.0002623301,0.001469677,0.001195159],"domain_scores_gemma":[0.9791414,0.01342825,0.00423437,0.000799044,0.001470399,0.0009265334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001584639,0.0001641382,0.03813551,0.0003203475,0.00003957354,0.00195491,0.08531667,0.001970061,0.0003010758,0.8205329,0.005729632,0.04537672],"study_design_scores_gemma":[0.00004961874,0.0002640029,0.1170004,0.001987472,0.0001294948,0.002053601,0.4298406,0.01506812,0.001985122,0.2432722,0.1882382,0.0001112815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.697343,0.003685255,0.008777842,0.01281707,0.00008806467,0.0001488526,0.0001376512,0.00004345662,0.2769589],"genre_scores_gemma":[0.9937977,0.00118549,0.0004668088,0.0003637414,0.00003240208,0.00004211805,0.00002516128,0.00001819389,0.004068297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100907,"threshold_uncertainty_score":0.04316032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319446881369756,"score_gpt":0.3440803410928613,"score_spread":0.3208858722791637,"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."}}