{"id":"W2796918248","doi":"10.1371/journal.pone.0195727","title":"Modeling joint restoration strategies for interdependent infrastructure systems","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Interdependence; Critical infrastructure; Computer science; Joint (building); Process (computing); Risk analysis (engineering); Event (particle physics); Cascading failure; Component (thermodynamics); Interdependent networks; Critical infrastructure protection; Operations research; Business; Engineering; Computer security; Electric power system; Civil engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001837798,0.0001283048,0.0002099198,0.00009854257,0.0001105806,0.0001385297,0.0001148229,0.0000851373,0.00003913554],"category_scores_gemma":[0.00003457751,0.0001188084,0.00005475733,0.0001082317,0.00003481327,0.0002887164,0.00001746771,0.0001321949,0.00001800648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025397,"about_ca_system_score_gemma":0.00002453238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002651358,"about_ca_topic_score_gemma":0.00006496948,"domain_scores_codex":[0.9991369,0.00002603222,0.0002678301,0.0001629583,0.000207221,0.0001990252],"domain_scores_gemma":[0.9994963,0.00001290337,0.0000261167,0.0002311971,0.0001866322,0.00004680865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001047768,0.00002671637,0.0000575645,0.0003223455,0.0001821473,3.779973e-7,0.0006314512,0.9466961,0.05039027,0.001132718,0.0001563774,0.0003934574],"study_design_scores_gemma":[0.0001116918,0.00006413301,0.00007008599,0.00009849573,0.00008142464,9.000411e-7,0.0008556891,0.9879488,0.007998327,0.002606305,0.00002706262,0.0001370587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5687212,0.00007695719,0.4294651,0.00001860568,0.0001271407,0.0001992853,0.000009743515,0.000153554,0.001228365],"genre_scores_gemma":[0.9952325,0.00001302396,0.004013852,0.00001406232,0.0006240743,0.00003873741,0.00002021207,0.00002142443,0.00002211009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4265113,"threshold_uncertainty_score":0.4844866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560711554440985,"score_gpt":0.2313825145236229,"score_spread":0.195775398979213,"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."}}