{"id":"W2584716897","doi":"10.1680/jinam.16.00013","title":"Building resilience in virtual and physical networked operations","year":2017,"lang":"en","type":"article","venue":"Infrastructure Asset Management","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Resilience (materials science); Computer science; Context (archaeology); Intersection (aeronautics); Situated; Cascading failure; Risk analysis (engineering); Socio-ecological system; Computer security; Engineering; Business; Geography; Software engineering; Artificial intelligence; Transport engineering; Electric power system","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":[0.001629871,0.00046814,0.000231489,0.001151063,0.001601462,0.003552538,0.0009122325,0.0009001983,0.00438922],"category_scores_gemma":[0.004239145,0.0002921871,0.0004515426,0.0005472695,0.007400159,0.009062108,0.006864698,0.001368023,0.0003681364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452766,"about_ca_system_score_gemma":0.002152176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003533911,"about_ca_topic_score_gemma":0.002723314,"domain_scores_codex":[0.9989172,0.0005498761,0.00003637075,0.000128882,0.0001923275,0.0001754587],"domain_scores_gemma":[0.9985524,0.0008223794,0.0001954038,0.0001767034,0.0001111968,0.0001418539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009758634,0.00001367892,0.0005956943,0.00004064628,0.000008510106,0.0001080352,0.0008881055,0.03796419,0.0003430958,0.9471849,0.0006836152,0.01215985],"study_design_scores_gemma":[0.000004361573,0.00002629096,0.0006002439,0.0001241417,0.00001228172,0.00008840166,0.002141346,0.04921563,0.0006865634,0.9257386,0.02133818,0.00002393221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1263652,0.0017004,0.7049752,0.007686278,0.0001971255,0.000124814,0.00009754956,0.0003643583,0.1584891],"genre_scores_gemma":[0.9581034,0.001068186,0.03555024,0.0001546999,0.00004115103,0.00008825088,0.00003569108,0.00003068573,0.004927819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00438922,"threshold_uncertainty_score":0.0177961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004462761475171022,"score_gpt":0.250812749479024,"score_spread":0.246349988003853,"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."}}