{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061097,0.00009516551,0.0002110747,0.00009929239,0.00008275182,0.00001063972,0.0003754238,0.0000768314,0.000004509555],"category_scores_gemma":[0.0006010431,0.00005715026,0.000143976,0.0008041709,0.0002991972,0.0001741551,0.00005896974,0.0001569172,2.225945e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000683199,"about_ca_system_score_gemma":0.0000311177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187291,"about_ca_topic_score_gemma":0.00000328982,"domain_scores_codex":[0.9987899,0.00001163648,0.0005167483,0.0001187174,0.0004825005,0.00008048175],"domain_scores_gemma":[0.9990177,0.00009000827,0.0003365243,0.0001078619,0.0004319089,0.0000160298],"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":[0.0001658724,0.0001174316,0.003119523,0.0002466957,0.0005462809,5.37891e-8,0.001104733,0.2218258,0.7652164,0.005012378,0.0002505635,0.002394223],"study_design_scores_gemma":[0.0007189428,0.00008223419,0.05550006,0.002835494,0.001046052,0.00002000901,0.00007364916,0.2470049,0.6855434,0.006631018,0.0002996218,0.0002446567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914753,0.00005550183,0.00002722211,0.0002212374,0.00005932774,0.0001553912,0.00004396767,0.00002165509,0.007940406],"genre_scores_gemma":[0.9967793,0.00001997131,0.003111638,0.00001269075,0.0000173824,0.000004648711,0.000004331886,0.000006898742,0.00004314651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07967304,"threshold_uncertainty_score":0.233052,"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."}}