{"id":"W2088484007","doi":"10.1109/icassp.2010.5495961","title":"A new approach for mitigating carrier phase multipath errors in multi-gnss real-time kinematic (RTK) receivers","year":2010,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Multipath propagation; GNSS applications; Multipath mitigation; Computer science; Ambiguity resolution; Real-time computing; Constraint (computer-aided design); Electronic engineering; Algorithm; Global Positioning System; Telecommunications; Engineering","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":[0.0005444509,0.0007245022,0.0007109583,0.0007811707,0.0003611481,0.0007388928,0.001055553,0.0005785087,0.001001872],"category_scores_gemma":[0.0008196915,0.0004054343,0.0006254844,0.0005917983,0.0004391504,0.001406728,0.001581349,0.0009176618,0.0005807127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311539,"about_ca_system_score_gemma":0.0008190793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006019438,"about_ca_topic_score_gemma":0.001388453,"domain_scores_codex":[0.9993692,0.00009625486,0.0000275703,0.0001193752,0.0003439355,0.00004372933],"domain_scores_gemma":[0.9996141,0.00007368195,0.00008305145,0.00007115286,0.0001310912,0.00002694671],"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":[0.0003011493,0.0001579681,0.002335087,0.0004163051,0.0003024992,0.0002362626,0.00039102,0.1651826,0.2044787,0.02748722,0.001289507,0.5974218],"study_design_scores_gemma":[0.0000653918,0.0005004751,0.002090872,0.00004072488,0.000152121,0.0008610435,0.00008435375,0.900799,0.07304166,0.006137237,0.01608405,0.0001430836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005882851,0.0001217031,0.9931607,0.00003244933,0.00002729694,0.00001088281,0.00001083794,0.0001355205,0.0006175705],"genre_scores_gemma":[0.1434688,0.0003662863,0.8521773,0.00008080463,0.00006944,0.00005118095,0.00007932936,0.00007776095,0.0036292],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001055553,"threshold_uncertainty_score":0.003351569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403097294492925,"score_gpt":0.2777813786120438,"score_spread":0.2537504056671145,"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."}}