{"id":"W2789626949","doi":"10.1109/tsipn.2018.2801659","title":"Guest Editorial Distributed Signal Processing for Security and Privacy in Networked Cyber-Physical Systems","year":2018,"lang":"en","type":"editorial","venue":"IEEE Transactions on Signal and Information Processing over Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Key (lock); Reliability (semiconductor); Wireless sensor network; Computer security; Distributed computing; Aerospace; Process (computing); Computer network; Engineering; Power (physics)","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":[0.0004076726,0.0005330311,0.0006121132,0.0002418611,0.0005062956,0.000764898,0.0002138945,0.001111206,0.000004523071],"category_scores_gemma":[0.00001526637,0.0005045858,0.00009489013,0.0004482983,0.0002053865,0.002568106,0.000006614955,0.001420469,0.000002812613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636886,"about_ca_system_score_gemma":0.0001879484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000270576,"about_ca_topic_score_gemma":0.00001494227,"domain_scores_codex":[0.9976125,0.0000480265,0.0007708163,0.0003621417,0.0006477691,0.0005587706],"domain_scores_gemma":[0.9986615,0.0003975947,0.0002533162,0.0001409526,0.000360721,0.0001859339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004806043,0.00009963494,0.000003270424,0.002276669,0.00006208263,0.000001305506,0.002259691,0.4167168,0.000006500597,0.000004630856,0.5640574,0.01403143],"study_design_scores_gemma":[0.0009711467,0.0001497828,0.000004324744,0.0009797459,0.00007085347,0.000002828707,0.00007753543,0.6873668,0.00003330125,0.00003803165,0.3098582,0.0004474954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001291525,0.0006026936,0.4269022,0.000008177082,0.5698711,0.0006697502,0.000338535,0.0002505254,0.00006548265],"genre_scores_gemma":[0.3894338,0.0002849659,0.00003376419,0.0000133947,0.6096538,0.000184726,0.0003458696,0.00004075583,0.000008964801],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4268684,"threshold_uncertainty_score":0.9997406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004607394109169381,"score_gpt":0.2183679451030099,"score_spread":0.2137605509938405,"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."}}