{"id":"W2130174401","doi":"10.1680/iasma.14.00044","title":"Asset system of systems resilience planning: the Toronto case","year":2015,"lang":"en","type":"article","venue":"Infrastructure Asset Management","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interdependence; Vitality; Asset management; Urban resilience; Resilience (materials science); Environmental planning; Urban planning; Environmental resource management; Asset (computer security); Business; Stakeholder; Process management; Risk analysis (engineering); Computer science; Engineering; Geography; Sociology; Political science; Civil engineering; Public relations; Computer security; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005025081,0.0003920704,0.000147097,0.001006207,0.00387935,0.002972427,0.001120263,0.001099311,0.004734023],"category_scores_gemma":[0.00142487,0.000221553,0.0003915897,0.002475764,0.004432635,0.0009611424,0.00224204,0.0009100552,0.0002394251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03919765,"about_ca_system_score_gemma":0.01705971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8335603,"about_ca_topic_score_gemma":0.8947672,"domain_scores_codex":[0.9991944,0.0002195021,0.00002108506,0.00005397986,0.0001875618,0.0003233526],"domain_scores_gemma":[0.9995017,0.0001251969,0.00005780617,0.00004172594,0.00009022668,0.0001834057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005154569,0.00002556193,0.009074843,0.00007959561,0.00002837213,0.004619099,0.004581055,0.0788846,0.0004483844,0.8789686,0.008370587,0.01486777],"study_design_scores_gemma":[0.0001526132,0.0002603166,0.05000824,0.0005388964,0.0001864521,0.003077577,0.04349078,0.2367086,0.002013343,0.2787899,0.3845698,0.0002034442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4186301,0.001875064,0.02801957,0.007533449,0.00009571783,0.0003398985,0.001577221,0.0001299301,0.5417991],"genre_scores_gemma":[0.9786015,0.0008313654,0.004235687,0.00008142623,0.00001120145,0.00007720081,0.000213215,0.00001065626,0.01593778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1664397,"threshold_uncertainty_score":0.3348396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013999815805535,"score_gpt":0.2432966965462483,"score_spread":0.233156698388193,"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."}}