{"id":"W3210191085","doi":"10.1109/tsg.2021.3122099","title":"GNSS Time Signal Spoofing Detector for Electrical Substations","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University Belfast; Queen's University; British Council","keywords":"GNSS applications; Detector; SIGNAL (programming language); Global Positioning System; Spoofing attack; Electronic engineering; Signal processing; Computer science; Electrical engineering; Telecommunications; Engineering; Digital signal processing; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004151131,0.0005441767,0.000433666,0.0009348049,0.0003943725,0.0005589693,0.0005183509,0.0008274411,0.001511223],"category_scores_gemma":[0.001458618,0.0002264894,0.0002006373,0.000564072,0.0002745306,0.0006750108,0.0005426487,0.0005495012,0.001144059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972722,"about_ca_system_score_gemma":0.0003302648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553627,"about_ca_topic_score_gemma":0.0009834166,"domain_scores_codex":[0.9990771,0.000191596,0.00002835689,0.0001459598,0.0005054635,0.00005158525],"domain_scores_gemma":[0.9992332,0.0001800868,0.0001566186,0.0001207601,0.0002756312,0.00003368711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007567211,0.0001455063,0.01008212,0.000331075,0.00006699882,0.0002341771,0.000216898,0.01676035,0.5080536,0.004788336,0.004702183,0.4538621],"study_design_scores_gemma":[0.0001012406,0.000686483,0.01754226,0.00007893041,0.0001050682,0.001278139,0.0001068588,0.4248688,0.5197684,0.001536258,0.03382459,0.0001029131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1039204,0.000789149,0.8849403,0.0002606953,0.0002305773,0.000103387,0.000239671,0.003072968,0.006442834],"genre_scores_gemma":[0.7528993,0.000540763,0.2406061,0.0001773921,0.0001047805,0.0001112033,0.000345852,0.00009976623,0.005114936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001511223,"threshold_uncertainty_score":0.005055547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461413245168089,"score_gpt":0.2286532690972367,"score_spread":0.2140391366455558,"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."}}