{"id":"W2185631849","doi":"","title":"Results and Analysis of Using the MEDLL Receiver as a","year":2000,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multipath propagation; Delay spread; Rake receiver; Multipath mitigation; Computer science; Global Positioning System; SIGNAL (programming language); Metre; 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":[0.00004143517,0.00002969217,0.00005789809,0.00003617898,0.00001762049,0.00000942625,0.00003279842,0.00001460734,0.0002789096],"category_scores_gemma":[0.000005598786,0.00001948654,0.00002049246,0.000175333,0.00001768911,0.0000283645,0.000003114669,0.00002898363,0.000005698636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005013983,"about_ca_system_score_gemma":0.00000154187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002106969,"about_ca_topic_score_gemma":0.00001871206,"domain_scores_codex":[0.9997948,0.000006852148,0.00007517914,0.00004314988,0.00003620878,0.00004374255],"domain_scores_gemma":[0.9998661,0.00002344162,0.000005799318,0.00008248047,0.00001046706,0.00001174329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001319616,0.0000532745,0.002791074,0.0000421446,0.002870786,0.000004059599,0.01192904,0.8784954,0.03670974,0.002286372,0.00545993,0.05922623],"study_design_scores_gemma":[0.0001330755,0.00001952991,0.013554,0.00002480381,0.00029006,0.000003982052,0.0001184557,0.9751934,0.009534446,0.00009174614,0.0009593008,0.00007715256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846132,0.00004844934,0.0003187711,0.00002749305,0.00001007556,0.00001165515,0.000004203963,0.00002424454,0.114942],"genre_scores_gemma":[0.998763,0.00004541662,0.0003113755,0.0000213489,0.000004579204,3.477977e-7,0.00000214551,0.000002219425,0.0008495961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141498,"threshold_uncertainty_score":0.3053865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310183819662884,"score_gpt":0.2317423877389353,"score_spread":0.2186405495423065,"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."}}