{"id":"W2969506698","doi":"10.5539/emr.v8n2p11","title":"Defining Resilience for Engineered Systems","year":2019,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineer Research and Development Center; U.S. Army","keywords":"Resilience (materials science); Scope (computer science); Terminology; Computer science; Risk analysis (engineering); Stakeholder; Engineering; Process management; Systems engineering; Business; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003619368,0.002377267,0.0008236741,0.0045327,0.002406881,0.004954601,0.001648591,0.003002126,0.003440583],"category_scores_gemma":[0.01062544,0.0005331922,0.001103093,0.002644838,0.01195576,0.01135527,0.005932473,0.004603715,0.0006564614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003902595,"about_ca_system_score_gemma":0.002175305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595918,"about_ca_topic_score_gemma":0.001563787,"domain_scores_codex":[0.9958591,0.001556849,0.0004441399,0.0006404895,0.001062108,0.0004373348],"domain_scores_gemma":[0.9932852,0.003643447,0.001101093,0.0007479886,0.0009360573,0.0002863337],"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":[0.000004977078,0.000007611681,0.0002949863,0.000140685,0.00001294077,0.00009181882,0.0004338023,0.009475037,0.0002817349,0.9800536,0.00120404,0.007998711],"study_design_scores_gemma":[0.000004220872,0.00002425678,0.0003508355,0.0003915208,0.00001559722,0.0002163573,0.0006365734,0.00882655,0.0004039636,0.9205059,0.06858868,0.0000354712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0203128,0.0295993,0.8225247,0.0142278,0.001284655,0.0003285162,0.0004657866,0.0003840105,0.1108726],"genre_scores_gemma":[0.756888,0.03475902,0.1875734,0.003686101,0.001939201,0.001143438,0.0005818686,0.0002796598,0.01314938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004954601,"threshold_uncertainty_score":0.02831548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054292704392952,"score_gpt":0.2721128576375562,"score_spread":0.2615699305936267,"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."}}