{"id":"W3044122928","doi":"10.5210/spir.v2018i0.10463","title":"DRUG MARKETS AND ANONYMIZING TECHNOLOGIES","year":2020,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Embeddedness; The Internet; Cryptocurrency; Internet privacy; Business; Emerging markets; Data science; Computer science; Computer security; World Wide Web; Sociology; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004061037,0.0001151767,0.0001883806,0.0001519074,0.00009862522,0.0000857421,0.0008982952,0.00005257304,0.00003704495],"category_scores_gemma":[0.0005648399,0.00009704658,0.00003234068,0.001036989,0.0002486362,0.0001824919,0.001231072,0.0003578146,0.00001810256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002457766,"about_ca_system_score_gemma":0.00005089866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002589252,"about_ca_topic_score_gemma":0.00006097155,"domain_scores_codex":[0.998491,0.00009464518,0.0002070155,0.0003842441,0.000433675,0.0003893832],"domain_scores_gemma":[0.9990519,0.0003160575,0.00003761995,0.0002548405,0.0002729293,0.00006662237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004033873,0.000214112,0.02677233,0.0006260648,0.0007228146,0.0001289775,0.02906212,0.000008267489,0.2575439,0.15898,0.2187357,0.3068023],"study_design_scores_gemma":[0.002378655,0.00207873,0.03608206,0.0004685874,0.00002653086,0.00004044047,0.008355563,0.01845582,0.7364291,0.001906603,0.1926469,0.001131038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607537,0.00384983,0.001621048,0.01950521,0.00008479324,0.0006090123,0.000003043868,0.0008814514,0.112692],"genre_scores_gemma":[0.9969702,0.0003826443,0.001663637,0.0001320149,0.00001483539,0.00001563908,0.000001361296,0.00000744824,0.0008121782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4788852,"threshold_uncertainty_score":0.3957445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603559036986061,"score_gpt":0.301980937916647,"score_spread":0.2659453475467864,"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."}}