{"id":"W4240837460","doi":"10.1504/ijcis.2018.091933","title":"A fire management decision support systems to minimise economic losses: a case study in a petrochemical complex","year":2018,"lang":"en","type":"article","venue":"International Journal of Critical Infrastructures","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interdependence; Risk analysis (engineering); Decision support system; Economic cost; Net present value; Order (exchange); Environmental economics; Operations research; Computer science; Engineering; Business; Economics; Finance","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":[0.00102574,0.0007774312,0.0004713282,0.0007148791,0.001267405,0.001109274,0.001109123,0.001655845,0.002066317],"category_scores_gemma":[0.002024032,0.0003033312,0.0005120033,0.0005806634,0.0006084307,0.0009336829,0.0008904689,0.000868585,0.0001679473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175163,"about_ca_system_score_gemma":0.00131639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591001,"about_ca_topic_score_gemma":0.01560405,"domain_scores_codex":[0.9995733,0.0001791749,0.00002505426,0.00004668278,0.00009608127,0.00007972712],"domain_scores_gemma":[0.9987239,0.0008221073,0.00008191174,0.00007830434,0.0001435476,0.0001501067],"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":[0.0003385512,0.0007149252,0.008787594,0.000141356,0.00005155533,0.00258734,0.00035584,0.9566507,0.00396994,0.003471695,0.0008877547,0.02204274],"study_design_scores_gemma":[0.00008379851,0.0002852647,0.001955153,0.00001215831,0.00002267204,0.0001330157,0.0004013645,0.9917753,0.003409702,0.0008372114,0.001067186,0.00001714225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684494,0.000107689,0.0252404,0.0003810702,0.00002180822,0.0003178598,0.0002056697,0.0001803503,0.005095787],"genre_scores_gemma":[0.9784693,0.0000860543,0.01996203,0.00001940206,0.000005771077,0.0001069538,0.0000813408,0.00001373644,0.00125538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591001,"threshold_uncertainty_score":0.03163481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380546890504848,"score_gpt":0.335917715616088,"score_spread":0.3221122467110396,"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."}}