{"id":"W4312349187","doi":"10.1109/ojvt.2022.3218609","title":"Authentication for Satellite Communication Systems Using Physical Characteristics","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Authentication (law); Computer science; Spoofing attack; Physical layer; Satellite; Communications satellite; Outlier; Scheme (mathematics); Real-time computing; Artificial intelligence; Computer network; Computer security; Wireless; Telecommunications; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009194476,0.0001276229,0.0003975822,0.0003404758,0.0002387324,0.000102871,0.001789854,0.00008710788,0.000005643987],"category_scores_gemma":[0.00004764069,0.0001360529,0.00009022328,0.0004373511,0.00006300328,0.0002089374,0.000226153,0.0004423072,0.000005322412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002876079,"about_ca_system_score_gemma":0.00005006308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005058012,"about_ca_topic_score_gemma":4.286647e-7,"domain_scores_codex":[0.9986743,0.0001804774,0.0006576006,0.0001031581,0.0002080705,0.0001763623],"domain_scores_gemma":[0.9982405,0.0001128424,0.0005055957,0.0007992222,0.0002997022,0.00004218935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001898098,0.0007114122,0.003086227,0.0003927541,0.001103792,0.00003995641,0.003752827,0.1209531,0.7790107,0.02940088,0.0006811491,0.06067742],"study_design_scores_gemma":[0.002124405,0.0004840501,0.0006123767,0.00033385,0.00031536,0.001994659,0.004054987,0.5621984,0.02218521,0.003140001,0.4018408,0.0007159039],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755279,0.007549569,0.01447983,0.0003657861,0.0009239771,0.0008786932,0.0000284622,0.0001124775,0.0001332868],"genre_scores_gemma":[0.9952706,0.0004214738,0.004029255,0.00001283874,0.0000739539,0.0001052374,0.00001577989,0.00004530393,0.00002562318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7568255,"threshold_uncertainty_score":0.5548074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264518537582115,"score_gpt":0.3028095002683746,"score_spread":0.2601643148925534,"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."}}