{"id":"W2158836019","doi":"10.1109/ccece.2002.1015249","title":"Pulse shaping and signal modulation techniques to improve the multipath and noise performance of narrowband precision RF ranging","year":2003,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Multipath propagation; Ranging; Narrowband; Computer science; Electronic engineering; Bandwidth (computing); Multipath interference; Radio frequency; Carrier recovery; Telecommunications; Demodulation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006226146,0.0005358229,0.000263699,0.0005309815,0.000236803,0.0003804004,0.0003821919,0.0004785376,0.00112802],"category_scores_gemma":[0.003275946,0.0001839139,0.0002628436,0.0006162455,0.0003916253,0.0006729757,0.0002900461,0.0004537513,0.0003532772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389708,"about_ca_system_score_gemma":0.0002246459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002738631,"about_ca_topic_score_gemma":0.0004072344,"domain_scores_codex":[0.9996282,0.0000933564,0.00002057842,0.00003847813,0.0001986751,0.00002067493],"domain_scores_gemma":[0.9986455,0.0008111317,0.0001941973,0.0001362838,0.0001974832,0.00001548039],"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":[0.0003705125,0.0001304114,0.001517374,0.0004643166,0.0001314759,0.0003132713,0.0003548852,0.09049623,0.4532894,0.01374105,0.0004017945,0.4387892],"study_design_scores_gemma":[0.0001129189,0.00221868,0.003296255,0.000135891,0.000277982,0.003366389,0.00009870325,0.3017568,0.6557515,0.008618366,0.02426568,0.0001009238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09122498,0.001774686,0.9028966,0.0001663892,0.00006112426,0.00005118338,0.00001279449,0.0005934255,0.003218697],"genre_scores_gemma":[0.5923985,0.001719789,0.4022786,0.0001188014,0.00009458459,0.00006277026,0.000036142,0.00008771862,0.003203132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00112802,"threshold_uncertainty_score":0.00377357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009001661803096604,"score_gpt":0.2111880552666606,"score_spread":0.202186393463564,"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."}}