{"id":"W2973379834","doi":"10.1109/access.2019.2942414","title":"Security and Efficiency Enhanced Revocable Access Control for Fog-Based Smart Grid System","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer security; Access control; Smart grid; Grid; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007148379,0.0004805679,0.0008398924,0.0004132864,0.0009779428,0.001226793,0.001233651,0.0007055874,0.001134605],"category_scores_gemma":[0.001243026,0.0001622702,0.0005522183,0.0004049728,0.0007594563,0.002320609,0.001371691,0.0005916946,0.0002416391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008325672,"about_ca_system_score_gemma":0.0008598681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003430264,"about_ca_topic_score_gemma":0.002160736,"domain_scores_codex":[0.9989402,0.0001921669,0.00008669031,0.0002147329,0.0003212304,0.0002449971],"domain_scores_gemma":[0.9993054,0.000115676,0.0001220437,0.0002032084,0.0002026833,0.00005115637],"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":[0.003674371,0.0006141341,0.008819974,0.0007528139,0.0004329343,0.003961827,0.001784445,0.402545,0.1390869,0.1467611,0.01656419,0.2750023],"study_design_scores_gemma":[0.00009829464,0.0002214747,0.0008939751,0.0000217776,0.00005778598,0.0006311264,0.000151038,0.9695328,0.01067654,0.01214944,0.005504602,0.00006111955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2938495,0.001889903,0.6855098,0.0006507614,0.0003255765,0.0002846847,0.0001755646,0.002676821,0.01463749],"genre_scores_gemma":[0.9939659,0.0001269004,0.005046263,0.00005112234,0.00001836642,0.00001801308,0.00003349387,0.00001002374,0.0007299148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003430264,"threshold_uncertainty_score":0.006820619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291712049020568,"score_gpt":0.2730141392833361,"score_spread":0.2600970187931304,"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."}}