{"id":"W2325755744","doi":"10.1061/41050(357)66","title":"Societal Impacts of Infrastructure Failure Interdependencies: Building an Empirical Knowledge Base","year":2009,"lang":"en","type":"article","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Infrastructure Canada; National Science Foundation","keywords":"Blackout; Interdependence; Critical infrastructure; Hazard; Business; Storm; Computer science; Risk analysis (engineering); Environmental resource management; Environmental planning; Geography; Computer security; Power (physics); Environmental science; Political science; Electric power system; Meteorology","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":[0.01189785,0.0007469399,0.001182221,0.0368474,0.001546453,0.004863432,0.002673341,0.001644543,0.003599652],"category_scores_gemma":[0.06827366,0.0008520441,0.0008886724,0.0215707,0.002176609,0.01057095,0.003382335,0.001700872,0.0005860365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893235,"about_ca_system_score_gemma":0.005993702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000313,"about_ca_topic_score_gemma":0.02859283,"domain_scores_codex":[0.9950343,0.001615885,0.001253284,0.0008331708,0.001128281,0.0001350821],"domain_scores_gemma":[0.8784329,0.1033219,0.006574246,0.005276035,0.005769746,0.0006252315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001351689,0.001676973,0.2942719,0.01207871,0.0009271403,0.001496349,0.004997773,0.04960692,0.00181332,0.02302375,0.0100291,0.5999428],"study_design_scores_gemma":[0.0002521436,0.001164856,0.4887472,0.03341163,0.003293407,0.001527602,0.0373111,0.1460278,0.006142359,0.08944721,0.1921258,0.0005489048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6552975,0.04060633,0.1667757,0.01168032,0.0002269156,0.002998211,0.07609243,0.0006606615,0.04566182],"genre_scores_gemma":[0.7691736,0.04472801,0.1337441,0.001149892,0.0001819593,0.002231689,0.04812135,0.00006706751,0.0006023742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0368474,"threshold_uncertainty_score":0.0629226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008704721179343613,"score_gpt":0.2893034911759836,"score_spread":0.28059876999664,"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."}}