{"id":"W2588292428","doi":"10.1109/navitec.2016.7849323","title":"Gnss signal authenticity verification using carrier phase measurements with multiple receivers","year":2016,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Computer science; Counterfeit; Interference (communication); Electronic engineering; Global Positioning System; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005657497,0.00008148132,0.00006330608,0.00003411928,0.00005216923,0.00002026777,0.00006014281,0.00002918808,0.0002098347],"category_scores_gemma":[0.00001021862,0.0000540064,0.00001696247,0.00005422008,0.00002650723,0.0001603065,0.000004458174,0.00003575489,0.00003609191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044024,"about_ca_system_score_gemma":0.00001244797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004010889,"about_ca_topic_score_gemma":0.00001011845,"domain_scores_codex":[0.9995289,0.00001324904,0.00009062158,0.0001110399,0.0001234019,0.0001327701],"domain_scores_gemma":[0.9997425,0.00001335515,0.00001643239,0.0001137857,0.0000611974,0.00005270832],"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":[0.00005021682,0.00004795075,0.004605625,0.00001264603,0.00005919935,7.869879e-7,0.0003782691,0.003463079,0.9860018,0.00002950812,0.0004232484,0.004927597],"study_design_scores_gemma":[0.002111546,0.0001297843,0.001567843,0.0001888086,0.00004062814,0.000005847389,0.0001182437,0.09761338,0.8975236,0.00002319613,0.0003976275,0.0002795094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7553996,0.000006352119,0.2416229,0.0000104855,0.00008454014,0.00005909527,0.00001476827,0.0001416817,0.002660632],"genre_scores_gemma":[0.998551,0.000001395567,0.001268411,0.000007364659,0.00001744939,0.000005115643,0.000003910603,0.000009836501,0.0001354776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2431515,"threshold_uncertainty_score":0.2297543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05087196620670778,"score_gpt":0.2533840640850457,"score_spread":0.2025120978783379,"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."}}