{"id":"W2945318683","doi":"10.1109/euronav.2019.8714191","title":"Detection and De-weighting of Multipath-affected Measurements in a GPS/Galileo Combined Solution","year":2019,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Multipath propagation; Weighting; Global Positioning System; Computer science; Redundancy (engineering); Multipath mitigation; Real-time computing; Galileo (satellite navigation); GPS signals; Remote sensing; Assisted GPS; Telecommunications; Geography; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001196882,0.00005576788,0.00008153071,0.00006909685,0.00001239695,0.000008563506,0.0000266073,0.00004321343,0.00001600762],"category_scores_gemma":[0.0000204705,0.00005654124,0.00001214,0.00007985895,0.000006628208,0.00007632948,0.000008376916,0.00006567161,0.000008314304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005131543,"about_ca_system_score_gemma":0.000003386722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685177,"about_ca_topic_score_gemma":0.0001117905,"domain_scores_codex":[0.9996251,0.00002097442,0.0001170424,0.00007156985,0.00006013242,0.0001051059],"domain_scores_gemma":[0.9998668,0.00001420578,0.00001678431,0.00005805197,0.00002563342,0.00001851714],"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":[0.00001007774,0.00001934176,0.03111834,0.0000608302,0.000008880476,8.874029e-8,0.000248251,0.001574663,0.964973,0.00002817653,0.000006775517,0.001951557],"study_design_scores_gemma":[0.0006102868,0.00009264534,0.168418,0.0001311189,0.000004223695,0.00000206984,0.00003316255,0.4297535,0.4008407,0.00003497782,0.000002913605,0.00007637747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875312,0.00002772396,0.007793184,0.000003033834,0.00009557929,0.00009602065,4.191363e-7,0.00008495779,0.004367908],"genre_scores_gemma":[0.99944,0.000003403792,0.0005017387,0.000003930965,0.000004965138,0.000006633152,0.000001331677,0.000006914326,0.00003106096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5641323,"threshold_uncertainty_score":0.2305685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324625938560003,"score_gpt":0.202699778839101,"score_spread":0.189453519453501,"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."}}