{"id":"W2773968277","doi":"10.2495/safe-v8-n2-187-199","title":"An emergency response decision matrix against terrorist attacks with improvised device in chemical clusters","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemical plant; Emergency response; Explosive material; Emergency plan; Decision tree; Computer security; Plan (archaeology); Chemical warfare; Domino effect; Decision matrix; Computer science; Risk analysis (engineering); Engineering; Operations research; Medical emergency; Data mining; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00295215,0.0001586783,0.0003259068,0.0006474382,0.00005985858,0.0001190595,0.0007892932,0.00009128137,0.00008411198],"category_scores_gemma":[0.001041406,0.0001171576,0.0001208449,0.0004891112,0.0000660079,0.0007653202,0.00008856726,0.0003047934,0.000008248178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132182,"about_ca_system_score_gemma":0.00006966162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001711558,"about_ca_topic_score_gemma":0.00007664107,"domain_scores_codex":[0.9971248,0.0001056871,0.00108827,0.0002615289,0.001231343,0.0001884027],"domain_scores_gemma":[0.9979314,0.0005181201,0.000350148,0.0002099935,0.0008007514,0.0001895401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.09937854,0.001171505,0.08060531,0.000044495,0.001111274,0.001841655,0.0347038,0.1804917,0.09972826,0.001016453,0.001061078,0.4988459],"study_design_scores_gemma":[0.006868826,0.001249376,0.1229006,0.0005400529,0.00009005356,0.0007166184,0.004292456,0.8257648,0.003778647,0.004467487,0.02833871,0.0009924026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432822,0.0001347005,0.0544442,0.001474662,0.0005236336,0.00004647242,0.00001247021,0.000009459823,0.00007213829],"genre_scores_gemma":[0.9952201,0.0002940366,0.004012174,0.00005219976,0.0003915225,6.361747e-7,0.0000028885,0.00001091865,0.00001551527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.645273,"threshold_uncertainty_score":0.4777549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466333293970771,"score_gpt":0.3449730910485452,"score_spread":0.3303097581088375,"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."}}