{"id":"W4251406131","doi":"10.1109/tsmc.2019.2942656","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580583,0.001097325,0.001273344,0.00118223,0.0005552507,0.002967302,0.000735336,0.00151338,0.2335502],"category_scores_gemma":[0.00384749,0.0003509366,0.0005613947,0.002014708,0.0007551389,0.002198886,0.001186879,0.001716635,0.08608241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979337,"about_ca_system_score_gemma":0.001456164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903635,"about_ca_topic_score_gemma":0.002223084,"domain_scores_codex":[0.9987497,0.0001694955,0.0001015223,0.0001431818,0.0007560838,0.00007992396],"domain_scores_gemma":[0.9975062,0.000621517,0.0001392268,0.0004528373,0.00110232,0.0001779139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002058084,0.0001359081,0.001415145,0.0005426335,0.00007984088,0.0002190263,0.00008752981,0.004804518,0.002361537,0.03409887,0.5807236,0.3753255],"study_design_scores_gemma":[0.00003474738,0.0001007145,0.001324649,0.0003226399,0.00005616927,0.0002573276,0.00007849927,0.01841684,0.0009604463,0.01881907,0.9596028,0.00002606216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009740978,0.03192434,0.2499839,0.02135998,0.05937311,0.0007327427,0.01201906,0.003937254,0.6109286],"genre_scores_gemma":[0.1025917,0.03950042,0.0445133,0.003690999,0.008761136,0.0004913179,0.01762404,0.001031124,0.781796],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2335502,"threshold_uncertainty_score":0.7813031,"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."}}