{"id":"W2287921404","doi":"","title":"A Study of Phase Transitions in Security Games","year":2012,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stackelberg competition; Computer science; Software deployment; Suite; Benchmark (surveying); Computation; Guard (computer science); Game theory; Theoretical computer science; Mathematical optimization; Algorithm; Mathematical economics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003467295,0.0001029721,0.0001660066,0.0002389513,0.00004045796,0.00001593222,0.0001234157,0.00005461143,0.000413015],"category_scores_gemma":[0.00009702424,0.0001021463,0.00004328882,0.000464112,0.00005971137,0.0001947197,0.000006750091,0.0001977921,0.00003262975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006129922,"about_ca_system_score_gemma":0.00003668666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002677731,"about_ca_topic_score_gemma":0.0003690708,"domain_scores_codex":[0.9989196,0.00005831457,0.0003644135,0.0001220799,0.0003542207,0.0001813834],"domain_scores_gemma":[0.9995751,0.00007107768,0.00003093639,0.0001057378,0.0001637927,0.00005337246],"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":[0.0001432008,0.006470064,0.004463364,0.00006244676,0.000101826,0.000004717913,0.0323012,0.3934473,0.008560883,0.4674894,0.00005815021,0.08689743],"study_design_scores_gemma":[0.0003368483,0.0006542869,0.01150317,0.00007850391,0.00005441434,0.00000458496,0.02927917,0.7525236,0.06083959,0.1440299,0.00007791178,0.000618005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838009,0.00002038063,0.01128183,0.00007047798,0.00009751235,0.0001732641,0.00002303197,0.00003298655,0.004499621],"genre_scores_gemma":[0.9998109,0.000006367319,0.00007182689,0.00001700881,0.00005388449,0.00002549812,0.000006730866,0.000005106527,0.000002616983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3590763,"threshold_uncertainty_score":0.4522225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08300799509632655,"score_gpt":0.3629789054404974,"score_spread":0.2799709103441708,"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."}}