{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447775,0.0004136582,0.0003842489,0.00119389,0.0004496331,0.001163615,0.000612502,0.001013957,0.005864054],"category_scores_gemma":[0.004991569,0.0002723106,0.0003777146,0.001010864,0.0004036222,0.0007861992,0.0006758657,0.0004618279,0.0009105686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249964,"about_ca_system_score_gemma":0.0005877286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639887,"about_ca_topic_score_gemma":0.002114801,"domain_scores_codex":[0.9989146,0.0001484702,0.00005864155,0.0002866025,0.0003489361,0.0002428799],"domain_scores_gemma":[0.993416,0.00490278,0.0003536005,0.0003504044,0.0008337345,0.0001435759],"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":[0.006955614,0.0003013357,0.07320729,0.0007107687,0.0002407073,0.001044184,0.001058405,0.08811525,0.5577378,0.02157293,0.002493035,0.2465628],"study_design_scores_gemma":[0.00006039666,0.0004717967,0.110455,0.0001037893,0.0001810672,0.0008301109,0.0002842954,0.3300489,0.5499494,0.003176526,0.004337232,0.0001014182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256618,0.0008298205,0.1556995,0.0004108907,0.00003690879,0.00006954253,0.0008436016,0.001581145,0.01486684],"genre_scores_gemma":[0.98854,0.00007939489,0.008740973,0.00006366007,0.000005697433,0.00001680014,0.0003456222,0.0001463946,0.002061372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005864054,"threshold_uncertainty_score":0.0196172,"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."}}