{"id":"W2185088905","doi":"","title":"Analysis of L5/E5 acquisition, tracking and data demodulation thresholds","year":2002,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Demodulation; Computer science; Global Positioning System; False alarm; Data acquisition; GPS signals; Carrier-to-noise ratio; Bandwidth (computing); Multipath propagation; Electronic engineering; Real-time computing; Signal-to-noise ratio (imaging); Assisted GPS; Telecommunications; Engineering; Artificial intelligence; Channel (broadcasting)","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":[0.001699631,0.0002160899,0.0003676525,0.0003550336,0.0001249959,0.0002256377,0.0008314899,0.0002140659,0.0001388363],"category_scores_gemma":[0.0002360327,0.0002510576,0.0001046842,0.0004743472,0.0001110403,0.0002161809,0.0006742519,0.0003437913,0.000005540392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005156586,"about_ca_system_score_gemma":0.00002303137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874507,"about_ca_topic_score_gemma":0.0003838379,"domain_scores_codex":[0.9978982,0.0007051028,0.0004649649,0.0005087462,0.0002439752,0.0001790791],"domain_scores_gemma":[0.9964724,0.0003862775,0.0002190937,0.002054664,0.0007874749,0.0000800815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004003955,0.001964721,0.1926622,0.003633215,0.009566143,0.00001212033,0.06779241,0.2785098,0.03652608,0.08090734,0.008752201,0.3196338],"study_design_scores_gemma":[0.0001383584,1.91263e-7,0.0556623,0.000962592,0.000410478,0.000002963492,0.0000352739,0.9337848,0.007639957,0.0007487828,0.00034906,0.0002652426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5970077,0.002664596,0.370718,0.000697629,0.0001711897,0.0002118619,0.0004145984,0.0003315047,0.02778296],"genre_scores_gemma":[0.9875722,0.0008187287,0.009148879,0.00001302083,0.00001327137,0.00001113435,0.001974588,0.00002777954,0.000420424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.655275,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274104713476717,"score_gpt":0.2432729975829344,"score_spread":0.2158625262352627,"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."}}