{"id":"W4386966989","doi":"10.31235/osf.io/n7mze","title":"Drug adulteration and substitution within Australian cryptomarkets: An analysis of Test4Pay","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug; Heroin; Context (archaeology); Adulterant; Ecstasy; Controlled substance; Mephedrone; Medicine; Pharmacology; Business; Psychiatry; Chemistry; Medical prescription; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005642021,0.0002766947,0.0002244463,0.001813574,0.00105636,0.000866352,0.0004005687,0.0004597777,0.00207389],"category_scores_gemma":[0.002009243,0.0003106742,0.0003330749,0.001860532,0.0007404922,0.0004912407,0.0010375,0.0006093,0.0005015109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553919,"about_ca_system_score_gemma":0.000861705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09069322,"about_ca_topic_score_gemma":0.08617404,"domain_scores_codex":[0.999225,0.0001178614,0.0000525507,0.00007963666,0.0003542104,0.000170672],"domain_scores_gemma":[0.9980174,0.0001974859,0.000976177,0.00007944748,0.0005067248,0.000222735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001665657,0.0001212708,0.9858293,0.00005560986,0.00002420885,0.000496147,0.003599296,0.00002589107,0.001829045,0.00006045329,0.0001634747,0.007628704],"study_design_scores_gemma":[0.000001403977,0.000103074,0.9968085,0.000007890724,0.000007723661,0.0002727305,0.001936823,0.0001063275,0.0002499269,0.00001113113,0.0004905814,0.000004023866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992551,0.00004242619,0.00003292912,0.00002658635,0.000001229226,0.00001648095,0.0001032177,0.000001055247,0.0005209207],"genre_scores_gemma":[0.9982162,0.0001337775,0.0001484062,0.00006452999,0.000003104818,0.00001536295,0.0001885836,0.000002629761,0.00122729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09069322,"threshold_uncertainty_score":0.1803307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359637142047053,"score_gpt":0.283270399147556,"score_spread":0.2496740277270855,"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."}}