{"id":"W2898730799","doi":"10.1111/risa.13222","title":"Sequential Hazards Resilience of Interdependent Infrastructure System: A Case Study of Greater Toronto Area Energy Infrastructure System","year":2018,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Interdependence; Resilience (materials science); Critical infrastructure; Risk analysis (engineering); Hazard; Computer science; Natural hazard; Reliability engineering; Environmental resource management; Engineering; Business; Computer security; Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004247271,0.0006200029,0.0002493326,0.001110189,0.00172207,0.0008057457,0.0008820922,0.0009137262,0.001429327],"category_scores_gemma":[0.001327372,0.000227685,0.0004593409,0.001339478,0.001628659,0.0008564901,0.001135074,0.0005265697,0.00006590624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008442385,"about_ca_system_score_gemma":0.00283653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4806576,"about_ca_topic_score_gemma":0.6389354,"domain_scores_codex":[0.9995927,0.0001190039,0.00001554246,0.00004594125,0.00009610869,0.0001306815],"domain_scores_gemma":[0.9991165,0.0004034345,0.0001383294,0.0000676597,0.0001363185,0.000137746],"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":[0.0002833027,0.000325288,0.1058632,0.0002252777,0.000186674,0.02315778,0.003790387,0.8243962,0.005973358,0.01768473,0.002034568,0.01607921],"study_design_scores_gemma":[0.0001130162,0.0006437349,0.1655363,0.00009260933,0.0002602142,0.001934122,0.0263847,0.7856821,0.005381665,0.007649851,0.006184348,0.0001373531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930333,0.00007940318,0.002835602,0.0001554566,0.000004834898,0.00005539705,0.000155417,0.00002306982,0.003657465],"genre_scores_gemma":[0.998075,0.00009044905,0.0009890308,0.000006657135,0.000002034296,0.00001282213,0.00004791785,0.000003257235,0.0007729405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5193424,"threshold_uncertainty_score":0.9557198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004539316900070168,"score_gpt":0.2245864125418398,"score_spread":0.2200470956417696,"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."}}