{"id":"W2888610341","doi":"10.3390/s18092779","title":"Comparison of L1 and L5 Bands GNSS Signals Acquisition","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"GNSS positioning and interference","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"GNSS applications; Global Positioning System; GPS signals; Computer science; Narrowband; Galileo (satellite navigation); Binary offset carrier modulation; SIGNAL (programming language); Doppler effect; Satellite navigation; Code (set theory); Satellite system; Channel (broadcasting); Real-time computing; Electronic engineering; Telecommunications; Assisted GPS; Remote sensing; Geography; Engineering; Physics","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":[0.0004920461,0.0005040687,0.0003305851,0.001349383,0.0003123849,0.0007847575,0.0003499435,0.0006347183,0.002680458],"category_scores_gemma":[0.001861244,0.0001431882,0.0004146822,0.0009774538,0.0002080973,0.0006154549,0.0005840403,0.0002288772,0.0008696843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003277467,"about_ca_system_score_gemma":0.0003131734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00391453,"about_ca_topic_score_gemma":0.004808518,"domain_scores_codex":[0.99927,0.0001012182,0.0000479497,0.0001195666,0.0002943121,0.0001668676],"domain_scores_gemma":[0.9990168,0.0002928443,0.00009152622,0.00008633787,0.0004547056,0.00005775659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005335022,0.0003618537,0.1926215,0.001328874,0.0004530014,0.001103494,0.00110743,0.08541824,0.2391404,0.003073215,0.004643643,0.4654133],"study_design_scores_gemma":[0.0001114416,0.001355813,0.7260683,0.0001334937,0.0002821674,0.001106785,0.001084748,0.09290724,0.1622172,0.0006695602,0.01391077,0.000152411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971819,0.0004331328,0.01419888,0.00007918256,0.00003992736,0.0000599108,0.0007783832,0.0003365848,0.01225482],"genre_scores_gemma":[0.9859371,0.0002820047,0.009550201,0.00006345158,0.0000200666,0.00002917605,0.001883487,0.00007361151,0.002160845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00391453,"threshold_uncertainty_score":0.008966982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818751833868145,"score_gpt":0.2793862858285421,"score_spread":0.2611987674898607,"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."}}