{"id":"W2057135357","doi":"10.1057/palgrave.sj.8340159","title":"Computer Simulation as a Tool for Environmental Criminologists","year":2004,"lang":"en","type":"article","venue":"Security Journal","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Situational ethics; Airport security; Crime prevention; Field (mathematics); Computer science; Intervention (counseling); Macro; Computer security; Environmental crime; Organised crime; Criminology; Management science; Data science; Sociology; Psychology; Engineering; Social psychology","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":[0.002074222,0.0006496506,0.0005546424,0.001021241,0.0007345795,0.002545729,0.001505412,0.001559094,0.01642701],"category_scores_gemma":[0.01396768,0.000533902,0.0003823874,0.0007003466,0.0008266671,0.00242475,0.001586167,0.001429614,0.001587672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007030024,"about_ca_system_score_gemma":0.00134742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003765465,"about_ca_topic_score_gemma":0.002696748,"domain_scores_codex":[0.9992647,0.0004591107,0.00004445832,0.0000524637,0.0001501147,0.00002924289],"domain_scores_gemma":[0.9855297,0.01225685,0.0001900441,0.000770133,0.0007964672,0.0004568325],"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":[0.0008308022,0.001040938,0.007871055,0.000340955,0.0001555047,0.0005873388,0.002074755,0.5519731,0.004486311,0.1102571,0.0426312,0.2777509],"study_design_scores_gemma":[0.0001046573,0.00006692404,0.0003005475,0.00007453337,0.00002643626,0.00008681122,0.0002397748,0.9407198,0.001728718,0.03887165,0.01775656,0.00002358418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03983541,0.0002380546,0.9152328,0.001794104,0.0002247748,0.0002384477,0.0004665414,0.01264435,0.02932554],"genre_scores_gemma":[0.4939012,0.000504848,0.4933253,0.0003334642,0.00006329079,0.0008612461,0.0005999124,0.001267564,0.009143209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01642701,"threshold_uncertainty_score":0.05495381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354953789654003,"score_gpt":0.2892818516953672,"score_spread":0.2557323137988272,"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."}}