{"id":"W2071416316","doi":"10.4309/jgi.2010.24.5","title":"Online crime and internet gambling","year":2010,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"The Internet; Law enforcement; Internet privacy; Enforcement; Criminology; Business; Psychology; Advertising; Sociology; Political science; Computer science; World Wide Web; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008197255,0.0000950902,0.000174838,0.001434029,0.001260839,0.002244774,0.0002631166,0.0009891659,0.004557148],"category_scores_gemma":[0.0042342,0.00009652222,0.0001490299,0.001232384,0.004221709,0.001700187,0.001481599,0.0009080994,0.0002385874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007819586,"about_ca_system_score_gemma":0.000698439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004375387,"about_ca_topic_score_gemma":0.00583641,"domain_scores_codex":[0.9987463,0.0007935123,0.00004930092,0.00007235351,0.0001542683,0.0001842495],"domain_scores_gemma":[0.9963359,0.001767781,0.001122329,0.0001130369,0.0001899514,0.0004711548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001167252,0.0007888859,0.5571485,0.0002515923,0.00005222666,0.001450368,0.02493791,0.0008320933,0.0002575599,0.3229427,0.005042357,0.08617911],"study_design_scores_gemma":[0.0000201878,0.0002609748,0.743104,0.000680296,0.00004131608,0.003614169,0.07156236,0.002276154,0.0001875459,0.1248204,0.05338531,0.00004725163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750685,0.005832265,0.0008859247,0.01182158,0.00006788359,0.00002682436,0.0000615401,0.000008038426,0.1062273],"genre_scores_gemma":[0.9954893,0.002189705,0.000174271,0.0003371192,0.00005526999,0.000007936183,0.00001491398,0.00000181672,0.001729628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004557148,"threshold_uncertainty_score":0.0152452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09223783042653401,"score_gpt":0.3647536796514813,"score_spread":0.2725158492249473,"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."}}