{"id":"W4252262743","doi":"10.1109/tsmc.2019.2959103","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"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":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; 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":[0.0004145126,0.0005128695,0.0005899858,0.000531678,0.0003061421,0.0007539959,0.0002518768,0.0004692981,0.00002229769],"category_scores_gemma":[0.000003029763,0.0005024655,0.0001101478,0.000408861,0.0001047625,0.0006721574,0.000001243445,0.0005836029,0.0004870507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073833,"about_ca_system_score_gemma":0.00003913903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"domain_scores_codex":[0.99717,0.0001689064,0.001003424,0.0004610429,0.0006678291,0.0005287739],"domain_scores_gemma":[0.9984213,0.0001744756,0.0002051301,0.0006577254,0.0002167884,0.0003245561],"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":[0.00007491473,0.0001905439,0.00009162348,0.003834596,0.0003340192,0.000005999154,0.003307448,0.9820156,0.001322836,0.002214422,0.00255467,0.00405331],"study_design_scores_gemma":[0.002212659,0.0006637338,0.0004204187,0.001667668,0.0002378711,0.0004957954,0.005057294,0.9087386,0.002532644,0.00001130844,0.07649339,0.001468617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3449144,0.003048952,0.6149251,0.0001466707,0.01947023,0.004503513,0.0005395963,0.001203971,0.01124756],"genre_scores_gemma":[0.9944286,0.001066519,0.00002394169,0.00004923864,0.0001629682,0.0002852052,0.00001936011,0.00007072274,0.003893485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6495141,"threshold_uncertainty_score":0.9997427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007591220073912377,"score_gpt":0.1881713138128677,"score_spread":0.1805800937389553,"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."}}