{"id":"W2104442767","doi":"10.1504/ijcis.2012.049030","title":"Evaluation of state of resilience for a critical infrastructure in a context of interdependencies","year":2012,"lang":"en","type":"article","venue":"International Journal of Critical Infrastructures","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Resilience (materials science); Interdependence; Adaptation (eye); Context (archaeology); Process (computing); Risk analysis (engineering); Process management; Computer science; State (computer science); Critical infrastructure; Plan (archaeology); Knowledge management; Management science; Engineering; Computer security; Business; Sociology; Psychology; Geography","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":[0.008427728,0.0006562421,0.0005933506,0.005580507,0.0009052757,0.002992833,0.0007300485,0.0009171509,0.002384619],"category_scores_gemma":[0.02325451,0.0002323208,0.0006150863,0.002972492,0.002345536,0.004209693,0.002177502,0.0007372192,0.0002006124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187122,"about_ca_system_score_gemma":0.001387198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002277363,"about_ca_topic_score_gemma":0.00215937,"domain_scores_codex":[0.9938924,0.002419787,0.0006355953,0.000522634,0.002048266,0.0004811962],"domain_scores_gemma":[0.9821637,0.008585803,0.003493654,0.0009780615,0.004255667,0.0005231849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001603673,0.0006149632,0.2659604,0.001928059,0.0009090943,0.001286321,0.023171,0.230277,0.02711098,0.1844029,0.003036841,0.2596987],"study_design_scores_gemma":[0.00008855041,0.002792729,0.2402678,0.001051232,0.0007541371,0.0009261702,0.03731313,0.5162471,0.04414138,0.1360015,0.01979606,0.0006203469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883344,0.0005496384,0.1853763,0.0004814395,0.00005552631,0.0005027455,0.0005161825,0.000400109,0.02378363],"genre_scores_gemma":[0.9839734,0.00009670631,0.01520362,0.00001072489,0.000004485159,0.0001315394,0.00009962027,0.00001203861,0.0004677346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008427728,"threshold_uncertainty_score":0.04457062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700622008168289,"score_gpt":0.3451715542351624,"score_spread":0.3281653341534795,"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."}}