{"id":"W1980494386","doi":"10.1007/s10291-014-0407-3","title":"Spoofing detection, classification and cancelation (SDCC) receiver architecture for a moving GNSS receiver","year":2014,"lang":"en","type":"article","venue":"GPS Solutions","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spoofing attack; GNSS applications; Computer science; Artificial intelligence; Interference (communication); Computer vision; Global Positioning System; Computer security; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280826,0.0008535108,0.0007354898,0.001257458,0.001126739,0.001206762,0.001750115,0.001498081,0.007541239],"category_scores_gemma":[0.0007733314,0.000436178,0.0004595362,0.0006024492,0.0003981751,0.0007935321,0.000725791,0.001066068,0.006351305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007972885,"about_ca_system_score_gemma":0.00160987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006079196,"about_ca_topic_score_gemma":0.009056861,"domain_scores_codex":[0.999111,0.00008184594,0.00004604067,0.0001964627,0.0004311734,0.0001334802],"domain_scores_gemma":[0.9989507,0.00009466933,0.0000750847,0.0001729546,0.0006405877,0.00006594264],"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":[0.00147977,0.0003486007,0.005787498,0.0002465514,0.0001373982,0.0004027063,0.0002858769,0.01089402,0.5406868,0.008868361,0.01778235,0.4130802],"study_design_scores_gemma":[0.0002671336,0.002449316,0.008224585,0.0001018934,0.0003252531,0.002291091,0.0001266434,0.4518682,0.4643748,0.002176154,0.06757271,0.0002220999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05668902,0.0005755493,0.9169188,0.0007125694,0.0005275878,0.0003602114,0.0003633045,0.01147158,0.01238132],"genre_scores_gemma":[0.5608347,0.0003765537,0.4000663,0.001487847,0.000479702,0.0002953623,0.0009849438,0.000269236,0.03520542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007541239,"threshold_uncertainty_score":0.02522796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04571485214876148,"score_gpt":0.2792750269741458,"score_spread":0.2335601748253843,"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."}}