{"id":"W4387407983","doi":"10.33012/2023.19382","title":"Preliminary Analysis of GNSS Radio Frequency Interference Events Detected in Canada and Impacts on GNSS Based Applications","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Computer science; GNSS augmentation; Interference (communication); Satellite navigation; Satellite system; Real-time computing; Detector; Global Positioning System; Electromagnetic interference; Telecommunications; Remote sensing; Channel (broadcasting); Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001643413,0.0007856099,0.001116527,0.00151613,0.0002282847,0.0001427959,0.004318984,0.00042623,0.00002800467],"category_scores_gemma":[0.004433296,0.0006181303,0.000664947,0.003849183,0.0004684891,0.0004647916,0.001559363,0.001431689,0.000004013408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009569159,"about_ca_system_score_gemma":0.0001726521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005199874,"about_ca_topic_score_gemma":0.004444757,"domain_scores_codex":[0.9931122,0.00004613711,0.002630105,0.001124885,0.002307062,0.0007795853],"domain_scores_gemma":[0.9944677,0.001339216,0.001594684,0.0005059711,0.001837573,0.0002549083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003760707,0.0008390278,0.3758171,0.0006723666,0.001014169,0.000003050684,0.0002870358,0.007171283,0.595019,0.006083732,0.000369045,0.01234804],"study_design_scores_gemma":[0.0007267933,0.000233064,0.9361129,0.006330665,0.0002984044,0.00001519669,0.0003417352,0.01570315,0.03581858,0.003475767,0.0002641943,0.0006795436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915147,0.0002602882,0.00005220161,0.00105447,0.0006915451,0.0008870006,0.0006201763,0.0003955925,0.00452398],"genre_scores_gemma":[0.9946867,0.0009292346,0.003744769,0.0001116056,0.0001065228,0.0001256451,0.0001167534,0.0001106935,0.00006811479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5602958,"threshold_uncertainty_score":0.999627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300981463951005,"score_gpt":0.2499013809957737,"score_spread":0.2368915663562636,"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."}}