{"id":"W2800654834","doi":"10.1080/17440572.2018.1460951","title":"Illicit payments for illicit goods: noncontact drug distribution on Russian online drug marketplaces","year":2018,"lang":"en","type":"article","venue":"Global Crime","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Payment; Illicit drug; Business; Internet privacy; The Internet; Enforcement; Distribution (mathematics); Drug; Law enforcement; Street drugs; Consumption (sociology); Commerce; Advertising; Computer security; Marketing; Computer science; Pharmacology; Finance; Medicine; Law; World Wide Web","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":[0.00119629,0.000203199,0.0002638514,0.003700461,0.001081473,0.002541051,0.0004627387,0.0002519483,0.007755845],"category_scores_gemma":[0.005256161,0.0002107548,0.0002554267,0.004503061,0.001041053,0.003049655,0.001718026,0.0004577202,0.001375185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297692,"about_ca_system_score_gemma":0.0009194301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406946,"about_ca_topic_score_gemma":0.005014382,"domain_scores_codex":[0.9981406,0.0006832992,0.0002023274,0.0001810972,0.0005569347,0.0002357427],"domain_scores_gemma":[0.9929157,0.002476623,0.002974426,0.0006129547,0.0008104076,0.0002098845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002664369,0.000300848,0.8256972,0.00048706,0.00006263655,0.002009027,0.05428984,0.0004057094,0.00207838,0.01403457,0.003700779,0.09666748],"study_design_scores_gemma":[0.00001276361,0.00009618778,0.909105,0.0002196125,0.00006317197,0.001508576,0.05631627,0.002613517,0.001978766,0.001619581,0.02642893,0.00003765493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884143,0.0001256793,0.0006605084,0.0001190497,0.000005643521,0.00009099907,0.0008644973,0.00001856329,0.009700696],"genre_scores_gemma":[0.9965544,0.0001347692,0.0004971605,0.0000192704,0.000008468738,0.00003656132,0.0005519515,0.00001099409,0.002186535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007755845,"threshold_uncertainty_score":0.0259459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099908994490769,"score_gpt":0.3297317728509024,"score_spread":0.3087326829059947,"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."}}