{"id":"W3121194732","doi":"10.1111/poms.12803","title":"A Game Between a Terrorist and a Passive Defender","year":2017,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrorism; Stylized fact; Damages; Computer security; Extension (predicate logic); Computer science; Politics; Economics; Political science; Law; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001768721,0.001409343,0.001108007,0.0005978295,0.001220217,0.002936906,0.002121149,0.004078458,0.01213167],"category_scores_gemma":[0.003501452,0.0004947112,0.001215239,0.0005040425,0.003041403,0.003970084,0.001913429,0.00226637,0.0007669956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987284,"about_ca_system_score_gemma":0.001494811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006665808,"about_ca_topic_score_gemma":0.004825003,"domain_scores_codex":[0.9980889,0.001007175,0.00007222319,0.0003233163,0.0001665365,0.0003418258],"domain_scores_gemma":[0.9962928,0.002416858,0.0005785276,0.0001736437,0.0001393349,0.000398887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003809086,0.0002232055,0.002724955,0.0001820021,0.0001406663,0.000748175,0.0008815383,0.1564583,0.002079944,0.826427,0.003361348,0.006391972],"study_design_scores_gemma":[0.0003724746,0.0003638628,0.001758413,0.00008296436,0.0001021759,0.0004095972,0.001033077,0.6819415,0.0006496446,0.3017461,0.0114327,0.000107497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3946769,0.001043863,0.4283692,0.008607793,0.0003558871,0.0007851143,0.001447422,0.0001753375,0.1645385],"genre_scores_gemma":[0.9670721,0.0003618245,0.01468213,0.0004070077,0.00007177977,0.0002961038,0.0001279745,0.00001276581,0.01696826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01213167,"threshold_uncertainty_score":0.04058444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743296032950336,"score_gpt":0.3444482294821078,"score_spread":0.3070152691526044,"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."}}