{"id":"W4417131180","doi":"10.1109/ap-s/cnc-usnc-ursi55537.2025.11266869","title":"Performance Estimation of an Anti-Jamming Antenna in a GPS-Challenged Environment Using a GNSS Receiver","year":2025,"lang":"","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada; Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"GNSS applications; Antenna (radio); Anechoic chamber; Antenna height considerations; Radiation pattern; Satellite navigation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002973342,0.0002593613,0.0003639034,0.0003902243,0.00009421066,0.00004228516,0.0001860662,0.0001628106,0.0001413314],"category_scores_gemma":[0.00002374927,0.0002951976,0.00005864678,0.0002837269,0.00008117955,0.0005806771,0.00006859009,0.0002957647,0.00001757494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762325,"about_ca_system_score_gemma":0.00004424148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002160883,"about_ca_topic_score_gemma":0.000009645563,"domain_scores_codex":[0.9984169,0.00006679498,0.0006465502,0.0003456467,0.0001767127,0.000347417],"domain_scores_gemma":[0.9994276,0.00004244797,0.00009428377,0.0003470948,0.00003335832,0.00005519186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004482287,0.0002487835,0.003002844,0.0006411368,0.00005932802,0.000003882396,0.002606332,0.903134,0.05132825,0.0002840045,0.00000247857,0.03864413],"study_design_scores_gemma":[0.0005270606,0.0001295463,0.04472032,0.002270268,0.0000416564,0.000005608179,0.0005747317,0.9297018,0.02173796,0.0000440298,0.000007547018,0.0002394945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433449,0.0003434381,0.05075847,0.00003756155,0.0002594226,0.0002034698,0.00000363247,0.00004704098,0.005002059],"genre_scores_gemma":[0.9878381,0.000689936,0.01125912,0.00001455204,0.00001600923,0.000008655895,0.000006834695,0.00002088133,0.0001459462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04449315,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692689355401246,"score_gpt":0.2394146949558997,"score_spread":0.2224878014018872,"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."}}