{"id":"W3097701620","doi":"10.1049/iet-cps.2020.0012","title":"Wyner wiretap‐like encoding scheme for cyber‐physical systems","year":2020,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Encoding (memory); Scheme (mathematics); Computer science; Cyber-physical system; Control (management); Controller (irrigation); Order (exchange); Distributed computing; Computer security; Theoretical computer science; Mathematics; 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":[0.0002914343,0.000453629,0.0007060283,0.00006423963,0.0003792608,0.0001943926,0.0006805996,0.000202972,0.000006807454],"category_scores_gemma":[0.00005236928,0.0004158486,0.0003465535,0.0006316848,0.0001995005,0.0002663521,0.00009404839,0.0004947263,0.0005854767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120316,"about_ca_system_score_gemma":0.00004253702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003188231,"about_ca_topic_score_gemma":0.0000022016,"domain_scores_codex":[0.9975781,0.0001164222,0.0005208918,0.0006936296,0.000436193,0.0006547442],"domain_scores_gemma":[0.9978316,0.0007641342,0.0001260582,0.0006933254,0.0001412308,0.000443583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005426784,0.0003924668,0.00008338226,0.0013475,0.00036629,0.000005017189,0.00500165,0.04684035,0.1431379,0.7923899,0.008932619,0.0014487],"study_design_scores_gemma":[0.001037551,0.0001925322,0.0001658061,0.0002643476,0.0002686526,0.00002450631,0.00203571,0.6912982,0.006358826,0.006430723,0.2903601,0.001563046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5538968,0.002704358,0.4085964,0.0008490089,0.002525923,0.008681961,0.0007696817,0.003749509,0.01822644],"genre_scores_gemma":[0.9914888,0.00001999109,0.0001478404,0.00009629475,0.004273011,0.003499472,0.00007428549,0.0001116716,0.0002886471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7859592,"threshold_uncertainty_score":0.9998294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342572561433761,"score_gpt":0.2350101155430571,"score_spread":0.2215843899287195,"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."}}