{"id":"W2114362719","doi":"10.1109/ccece.2011.6030715","title":"Federated critical infrastructure simulators: Towards ontologies for support of collaboration","year":2011,"lang":"en","type":"article","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interdependence; Computer science; Ontology; Domain (mathematical analysis); Critical infrastructure; Variety (cybernetics); Electric power system; Systems engineering; Distributed computing; Power (physics); Software engineering; Simulation; Computer security; Engineering; Artificial intelligence","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":[0.0001014753,0.0001217464,0.0002338837,0.00007676709,0.00005552799,0.00002306745,0.00008811484,0.0001487531,0.0008562764],"category_scores_gemma":[0.0002682222,0.0000998716,0.00007334255,0.0002372305,0.0000904155,0.0002135903,0.00001160151,0.00007730872,0.00000276181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003591726,"about_ca_system_score_gemma":0.00005835202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002618472,"about_ca_topic_score_gemma":0.00007368156,"domain_scores_codex":[0.9992763,0.00001525551,0.0002806665,0.0001307279,0.0001090396,0.0001880382],"domain_scores_gemma":[0.9994722,0.00006606097,0.00002141502,0.0001210789,0.0002710301,0.00004820652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008328552,0.0003854709,0.04125952,0.003438278,0.001567089,0.00002147236,0.01416996,0.5573853,0.0699954,0.1075702,0.06160061,0.1417739],"study_design_scores_gemma":[0.0009155329,0.000639677,0.03370663,0.00002219957,0.0002556226,0.000008282963,0.004290983,0.3538263,0.5726922,0.02927415,0.003583903,0.0007845671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4612702,0.00005993937,0.5112737,0.000121452,0.0004805629,0.0004009041,0.00008197916,0.0004281534,0.02588309],"genre_scores_gemma":[0.988075,0.000005342805,0.01177663,0.00004226982,0.0000329819,0.00001352712,0.0000164012,0.00001054782,0.00002735963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5268047,"threshold_uncertainty_score":0.9375626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803212176497633,"score_gpt":0.2747527354937962,"score_spread":0.2567206137288199,"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."}}