{"id":"W2070443158","doi":"10.1002/ecja.1137","title":"A consideration of multipath detection in navigation systems","year":2002,"lang":"en","type":"article","venue":"Electronics and Communications in Japan (Part I Communications)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Multipath propagation; Computer science; Waveform; Position (finance); Global Positioning System; Multipath mitigation; Delay spread; Electronic engineering; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003493262,0.0001278718,0.0001966631,0.0002464371,0.0001613503,0.00005337716,0.000615713,0.0001009076,0.000005313262],"category_scores_gemma":[0.00004607903,0.0001556104,0.00002733418,0.0004506604,0.0001600616,0.0002264518,0.0001347474,0.0004976426,0.00000812632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690494,"about_ca_system_score_gemma":0.00001478208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001228959,"about_ca_topic_score_gemma":0.000976919,"domain_scores_codex":[0.9987898,0.0002253801,0.000569237,0.0001295602,0.00009249782,0.0001934765],"domain_scores_gemma":[0.9977668,0.0002491708,0.00009941567,0.001763185,0.00008951305,0.00003194678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005817501,0.003583296,0.03150769,0.0007268449,0.0003106762,0.000001314829,0.03202888,0.04735406,0.06865707,0.5623528,0.001345241,0.2520739],"study_design_scores_gemma":[0.0004604243,0.00006159916,0.002042426,0.000309504,0.00001275149,0.0000184082,0.0005581977,0.9877514,0.001552672,0.0008552702,0.006174902,0.0002024764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859385,0.07352538,0.002360703,0.0007514716,0.0001668875,0.0009311588,0.00002603933,0.0002723534,0.03602747],"genre_scores_gemma":[0.9813523,0.01733592,0.0009303025,0.00001222417,0.000006785075,0.0002339084,0.00006400601,0.00001770647,0.00004687925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9403973,"threshold_uncertainty_score":0.6345606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326330886181635,"score_gpt":0.2476391113916074,"score_spread":0.2150060227734439,"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."}}