{"id":"W3013092031","doi":"10.1002/9781119434016.ch7","title":"Resilience Engineering and Quantification for Sustainable Systems","year":2020,"lang":"en","type":"other","venue":"Sustainability","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Sustainability; Resilience (materials science); Risk analysis (engineering); Socio-ecological system; Environmental resource management; Engineering; Computer science; Process management; Business; Environmental science; Reliability engineering; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003360516,0.0003240842,0.0004787061,0.0002200436,0.00008003545,0.0001222201,0.0002121397,0.0003139602,0.00005182499],"category_scores_gemma":[0.000994677,0.0003295457,0.0001009101,0.0003621001,0.0001028613,0.000115386,0.00004718149,0.0002425967,0.000002995507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004792274,"about_ca_system_score_gemma":0.000130846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002872374,"about_ca_topic_score_gemma":0.00001846473,"domain_scores_codex":[0.9984867,0.0000354161,0.0003097421,0.000509786,0.0001657628,0.0004926055],"domain_scores_gemma":[0.9989485,0.0001108683,0.00006699557,0.0005033011,0.0002351627,0.000135176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004726985,0.00004378573,0.001043321,0.06396894,0.0003495222,0.00003312379,0.0005087776,0.5620231,0.0002450581,0.0763776,0.289713,0.005646467],"study_design_scores_gemma":[0.0001857893,0.00004629109,0.0003284636,0.00006522124,0.000107606,0.000002785453,0.001368882,0.2360972,0.00009744499,0.001332824,0.7597987,0.000568787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002547915,0.01943044,0.8739493,0.0008830398,0.001240179,0.01206496,0.0002731595,0.00586576,0.0837452],"genre_scores_gemma":[0.8552936,0.0003406566,0.001855595,0.00002462593,0.000854662,0.0009611767,0.0001493537,0.0008916775,0.1396286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8720937,"threshold_uncertainty_score":0.9999157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004561527550499201,"score_gpt":0.2212423368787356,"score_spread":0.2166808093282364,"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."}}