{"id":"W2019436937","doi":"10.1080/14459790601157764","title":"The Security of Gambling and Gambling with Security: Hacking, Law Enforcement and Public Policy*","year":2007,"lang":"en","type":"article","venue":"International Gambling Studies","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Hacker; Law enforcement; Business; Crime control; Enforcement; State (computer science); Control (management); Internet privacy; Focus (optics); Computer security; Social control; Public security; Law and economics; Criminology; Public relations; Law; Political science; Psychology; Economics; Computer science; Criminal justice; Management","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":[0.00173224,0.0002677134,0.0002146424,0.001701859,0.002488283,0.006348077,0.0004336647,0.001746408,0.007398488],"category_scores_gemma":[0.006863681,0.0001874289,0.000263072,0.0019089,0.01059288,0.004402656,0.002284364,0.002219399,0.0002865561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398074,"about_ca_system_score_gemma":0.002739071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066282,"about_ca_topic_score_gemma":0.01314875,"domain_scores_codex":[0.9985173,0.0008011074,0.00004698814,0.00007704589,0.0001968817,0.0003606173],"domain_scores_gemma":[0.9874314,0.006818423,0.003796995,0.0002494919,0.0004825103,0.001221155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002144899,0.001687786,0.4153761,0.0003625721,0.000114446,0.000744138,0.0363494,0.001372542,0.0004576584,0.4422238,0.006382264,0.09471486],"study_design_scores_gemma":[0.0000373875,0.0003166966,0.6642784,0.001294145,0.00007301809,0.001033039,0.1302795,0.002556245,0.0004235629,0.1403952,0.05923787,0.00007476214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8334182,0.007208059,0.001131354,0.03939916,0.0001529708,0.00002757462,0.00002696361,0.000009869896,0.1186258],"genre_scores_gemma":[0.995023,0.002442416,0.0001321202,0.0007502236,0.00007542101,0.000007694658,0.000008884295,0.000003212242,0.001556979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066282,"threshold_uncertainty_score":0.02475041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398793813162722,"score_gpt":0.3542611183200365,"score_spread":0.3002731801884093,"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."}}