{"id":"W2024865852","doi":"10.1049/el.2010.1979","title":"Multipath mitigation for LOS TBRE using NDB OFDM transmission and phase correlation","year":2010,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Orthogonal frequency-division multiplexing; Multipath propagation; Electronic engineering; Transmission (telecommunications); Computer science; Phase (matter); Correlation; Channel (broadcasting); Telecommunications; Physics; Mathematics; 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":[0.00007253729,0.0001077899,0.0000880723,0.00008469843,0.00009847429,0.00002678318,0.00005682549,0.0001199246,0.00000730364],"category_scores_gemma":[0.00001878934,0.0001116389,0.00003199523,0.00009363035,0.00003087779,0.0001329019,0.000004316154,0.0002185263,9.788364e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000488953,"about_ca_system_score_gemma":0.00001101816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000187662,"about_ca_topic_score_gemma":0.000007360377,"domain_scores_codex":[0.9994466,0.000005912679,0.0001334921,0.0001234357,0.0000701751,0.0002204153],"domain_scores_gemma":[0.9997997,0.00002963134,0.00002593122,0.00009442923,0.00002142984,0.00002883629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001385201,0.00001073901,0.0001077988,0.00004241963,0.00001125778,5.667704e-7,0.0001460571,0.01360361,0.9517437,0.0009715648,0.0003610388,0.03298737],"study_design_scores_gemma":[0.0008725377,0.00003337465,0.00003716953,0.00001190576,0.00001850136,0.000005820509,0.00001333801,0.7439323,0.2490776,0.0003006404,0.005564343,0.0001325073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5219826,0.0001430545,0.4772139,0.0001623831,0.0001137327,0.0001701365,0.000004626197,0.0001960283,0.00001350618],"genre_scores_gemma":[0.9913405,0.00003898708,0.008325998,0.0001378383,0.00005568854,0.00001629599,0.00004832972,0.00002903525,0.000007326235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7303287,"threshold_uncertainty_score":0.4552501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00569136890124263,"score_gpt":0.2344118529821483,"score_spread":0.2287204840809056,"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."}}