{"id":"W4243120955","doi":"10.1109/tsmc.2016.2551206","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Data science; Psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004198996,0.0005075694,0.0005366206,0.0005192562,0.0003713044,0.0005880614,0.0002476265,0.0004488594,0.00001670652],"category_scores_gemma":[0.000005502723,0.0004146763,0.0001059549,0.0003523124,0.0001628225,0.0007171209,0.000001204734,0.0003891717,0.0002731189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384274,"about_ca_system_score_gemma":0.00003837353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003984779,"about_ca_topic_score_gemma":0.00007965361,"domain_scores_codex":[0.9971691,0.0001822546,0.001020109,0.0004488494,0.0006362484,0.0005434886],"domain_scores_gemma":[0.9983487,0.0002360118,0.0002035712,0.0006135736,0.0002316834,0.0003665311],"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":[0.0003249035,0.0007583164,0.000202073,0.009041931,0.001354481,0.00003435036,0.009566082,0.8859524,0.01064155,0.01025793,0.01603093,0.0558351],"study_design_scores_gemma":[0.006931795,0.001639898,0.000955592,0.006590423,0.000694547,0.00154117,0.007441475,0.7031931,0.01399279,0.00005576427,0.252904,0.004059458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08505042,0.001728291,0.8962477,0.0002115764,0.00953922,0.002053624,0.0004935581,0.0008352256,0.003840374],"genre_scores_gemma":[0.9940791,0.001780611,0.00002491952,0.00004120458,0.0002082028,0.0003637865,0.000008808534,0.0000683808,0.00342495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9090287,"threshold_uncertainty_score":0.9998305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009438870355947633,"score_gpt":0.1920888672351509,"score_spread":0.1826499968792032,"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."}}