{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007910659,0.000177477,0.0002998588,0.0006747388,0.00008917646,0.0003639939,0.0004478032,0.0001711516,0.00001532966],"category_scores_gemma":[0.00007249421,0.0001636791,0.0001050967,0.0009313687,0.00004806785,0.0005311281,0.0002884677,0.000237049,0.000005448936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005340868,"about_ca_system_score_gemma":0.00006364159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339858,"about_ca_topic_score_gemma":0.002731041,"domain_scores_codex":[0.998414,0.0001463105,0.0003885439,0.0006277587,0.0002928799,0.0001304523],"domain_scores_gemma":[0.9987058,0.000071575,0.0002693179,0.0007113579,0.0001555578,0.0000863658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002041371,0.0007446709,0.2167243,0.00132211,0.005311325,0.00006466049,0.04191498,0.4788279,0.01233246,0.1965735,0.003879971,0.04209991],"study_design_scores_gemma":[0.0001138466,0.00004498206,0.1902668,0.00006469334,0.000317356,0.000001906948,0.00006748705,0.8002712,0.00364207,0.004916447,0.00003534505,0.0002578207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7303706,0.00001439885,0.2675388,0.0004205099,0.000930542,0.0001826486,0.00001432578,0.0003979252,0.0001301386],"genre_scores_gemma":[0.9791876,0.00001782615,0.02009029,0.00003062256,0.00006001099,0.00001708597,0.0001036877,0.000007821725,0.0004850528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3214433,"threshold_uncertainty_score":0.6674638,"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."}}