{"id":"W2895464548","doi":"10.1504/ijcis.2018.10016657","title":"Intelligent decision system for responsive crisis management","year":2018,"lang":"en","type":"article","venue":"International Journal of Critical Infrastructures","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":"Interdependence; Exploit; Reinforcement learning; Computer science; Risk analysis (engineering); Operations research; Monte Carlo method; Set (abstract data type); Computer security; Engineering; Business; Artificial intelligence","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":[0.0003422992,0.0001628694,0.0002582132,0.0004232991,0.00007885463,0.000123267,0.0005716469,0.00009337728,0.0002563244],"category_scores_gemma":[0.0004304259,0.0001308217,0.0002450951,0.000140538,0.000182758,0.0002465174,0.00005343743,0.000188291,0.00001579071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314507,"about_ca_system_score_gemma":0.00002453368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002279749,"about_ca_topic_score_gemma":0.000003415508,"domain_scores_codex":[0.9983102,0.00003422077,0.0006761758,0.000144606,0.0006087259,0.0002260664],"domain_scores_gemma":[0.9978257,0.0003940604,0.00008082323,0.0001603968,0.001410078,0.0001288867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004592556,0.0002109783,0.0008571911,0.0009987016,0.004269231,0.0006184681,0.002603706,0.1945083,0.01265938,0.243766,0.1435843,0.3913311],"study_design_scores_gemma":[0.00401798,0.001840863,0.01598405,0.001488938,0.001337768,0.002360482,0.01401729,0.08327176,0.2889694,0.4809013,0.1040774,0.001732742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07549329,0.0001832048,0.9172397,0.0004952859,0.004844375,0.0001118134,0.00005509604,0.00005080781,0.001526381],"genre_scores_gemma":[0.9553145,0.00002681656,0.04315868,0.0001857024,0.001282219,0.000004951625,0.000003361862,0.000017502,0.000006297373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8798212,"threshold_uncertainty_score":0.5334752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007773654322046033,"score_gpt":0.3098326012462851,"score_spread":0.3020589469242391,"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."}}