{"id":"W2596329565","doi":"","title":"Results and Analysis of Using the MEDLL Receiver as a Multipath Meter","year":2000,"lang":"en","type":"article","venue":"Proceedings of the 2000 National Technical Meeting of The Institute of Navigation","topic":"GNSS positioning and interference","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multipath propagation; Delay spread; Rake receiver; Multipath mitigation; Computer science; Metre; SIGNAL (programming language); Global Positioning System; Electronic engineering; Remote sensing; Telecommunications; Geography; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008508997,0.0003720625,0.000505009,0.0006339988,0.0004340132,0.0005963376,0.0005750202,0.0006914667,0.003807973],"category_scores_gemma":[0.00346427,0.0001568758,0.0002937879,0.0008579493,0.0003820837,0.0005189704,0.0003423827,0.000251292,0.001412767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008704748,"about_ca_system_score_gemma":0.0003105128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006730699,"about_ca_topic_score_gemma":0.003975552,"domain_scores_codex":[0.9987215,0.0002007064,0.00003657087,0.0001116997,0.0007500889,0.0001794733],"domain_scores_gemma":[0.9971536,0.001110737,0.0001421139,0.0002417247,0.00128692,0.00006486894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009886052,0.0006174468,0.1037381,0.001155744,0.0002576942,0.001592414,0.0011549,0.1176309,0.5074044,0.004283205,0.003762759,0.2485165],"study_design_scores_gemma":[0.0003209272,0.00314313,0.1251581,0.00008570329,0.0004172766,0.001330568,0.001006309,0.2855558,0.5674002,0.001224825,0.01416989,0.000187286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111094,0.0004453836,0.06462177,0.000245158,0.00005104225,0.0001464595,0.001027829,0.002475843,0.01987713],"genre_scores_gemma":[0.9816765,0.0001219484,0.01241634,0.00007601535,0.00001060975,0.00003061484,0.0006880723,0.0001432596,0.004836632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006730699,"threshold_uncertainty_score":0.01338303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737081154440964,"score_gpt":0.2577725377310561,"score_spread":0.2404017261866464,"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."}}