{"id":"W3175804400","doi":"10.1080/15564886.2021.1943090","title":"Conflict and Victimization in Online Drug Markets","year":2021,"lang":"en","type":"article","venue":"Victims & Offenders","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Negotiation; Ostracism; Context (archaeology); Database transaction; Business; Psychological intervention; Internet privacy; Criminology; Public relations; Computer security; Political science; Psychology; Social psychology; Law","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":[0.001586522,0.0002211556,0.0004116854,0.001551468,0.004065133,0.003489728,0.0004621762,0.0007381338,0.004302414],"category_scores_gemma":[0.009855228,0.0002750921,0.0002642235,0.0008569905,0.002528879,0.003381661,0.003929255,0.001107022,0.0001925076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006650967,"about_ca_system_score_gemma":0.000432541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528485,"about_ca_topic_score_gemma":0.002793414,"domain_scores_codex":[0.9969002,0.002028561,0.0001805111,0.0001705242,0.000362766,0.0003573799],"domain_scores_gemma":[0.9938022,0.002044746,0.002701843,0.0003501776,0.0003415605,0.000759477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642607,0.0006935917,0.6091782,0.0001496501,0.0001023516,0.002359939,0.3400613,0.0001351794,0.0008851406,0.005235882,0.001400099,0.03963435],"study_design_scores_gemma":[0.00001469697,0.0002726991,0.3914357,0.0001977811,0.00004249761,0.004113022,0.5923139,0.0005595342,0.0004343672,0.001324818,0.009242604,0.00004833698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973263,0.0001975418,0.00009624341,0.0002172566,0.000005274184,0.00001056517,0.0000113917,0.000001243131,0.002134335],"genre_scores_gemma":[0.9994935,0.0001424927,0.00004469576,0.00004801643,0.000007352268,0.000007362527,0.000008361674,0.000001209776,0.0002470347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004302414,"threshold_uncertainty_score":0.01439303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692049397654802,"score_gpt":0.2454695359138107,"score_spread":0.2285490419372627,"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."}}