{"id":"W2886930369","doi":"10.1109/euronav.2018.8433249","title":"Galileo E1/E5 Measurement Monitoring - Theory, Testing and Analysis","year":2018,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Multipath propagation; Galileo (satellite navigation); Metric (unit); Computer science; Multipath mitigation; Global Positioning System; Code (set theory); Real-time computing; Algorithm; Electronic engineering; Reliability engineering; Remote sensing; Engineering; Telecommunications","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":[0.001683007,0.0008418711,0.0004864172,0.001932323,0.0002607139,0.001308299,0.001184836,0.0009207443,0.0005175348],"category_scores_gemma":[0.004097436,0.0002396887,0.0003587356,0.001187957,0.001041525,0.001502125,0.0009046795,0.0005452473,0.0002381974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009446906,"about_ca_system_score_gemma":0.0004613151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168923,"about_ca_topic_score_gemma":0.0008588781,"domain_scores_codex":[0.9980783,0.0003879209,0.00007154226,0.0002057017,0.001156648,0.0000998697],"domain_scores_gemma":[0.9985128,0.0006380198,0.0002753823,0.0001962749,0.0003414776,0.00003600426],"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":[0.000292272,0.0001248572,0.03713086,0.0009072153,0.0001685223,0.0004817396,0.00035589,0.255542,0.0612952,0.04135955,0.001516171,0.6008257],"study_design_scores_gemma":[0.00001958289,0.0005854603,0.02125175,0.0002186337,0.00007002757,0.0008939411,0.0002707119,0.8652548,0.09373496,0.009787085,0.007829119,0.00008403564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08417252,0.001973446,0.9041351,0.0004440453,0.00005533796,0.000101166,0.00009458316,0.0007057043,0.008317994],"genre_scores_gemma":[0.8913497,0.001795529,0.1052118,0.000115382,0.00005688349,0.00008217051,0.0001306245,0.00003848901,0.001219465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001932323,"threshold_uncertainty_score":0.008900702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390026827820816,"score_gpt":0.236423746808523,"score_spread":0.1925234785303149,"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."}}