{"id":"W2157837881","doi":"10.1109/issse.2007.4294530","title":"On the TOA Estimation for UWB Ranging in Complex Confined Area","year":2007,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Ranging; Time of arrival; Computer science; Multipath propagation; Real-time computing; SIGNAL (programming language); Channel (broadcasting); Algorithm; Direction of arrival; Wireless; Sensitivity (control systems); Electronic engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009563559,0.0007139388,0.0007145433,0.0006656731,0.0004276577,0.0006262088,0.0006058236,0.001004778,0.0009955619],"category_scores_gemma":[0.006611101,0.0003189283,0.0004643575,0.0009635965,0.0008545288,0.0009818939,0.0006761324,0.0008365191,0.0006242754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000287195,"about_ca_system_score_gemma":0.0003136811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339663,"about_ca_topic_score_gemma":0.0007131718,"domain_scores_codex":[0.9993162,0.0002759824,0.00003767955,0.0001324442,0.0002126063,0.00002512471],"domain_scores_gemma":[0.9976717,0.001778127,0.0001415151,0.0001624223,0.0002229255,0.00002331251],"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":[0.000322736,0.00006491947,0.001412374,0.0004200351,0.0001420857,0.0003056288,0.0002685365,0.4788405,0.03984448,0.03571057,0.001918419,0.4407497],"study_design_scores_gemma":[0.00001276514,0.00008901917,0.0005590404,0.00004437271,0.00003433203,0.000306574,0.0000443365,0.9779018,0.00843106,0.008330238,0.004204677,0.00004180082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007787974,0.001175418,0.9898746,0.0001270517,0.0000749195,0.00001976429,0.00001725072,0.000110297,0.0008128008],"genre_scores_gemma":[0.3399911,0.007285946,0.6466408,0.0003099027,0.0006593308,0.0001900622,0.0001869813,0.0001372295,0.004598555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001339663,"threshold_uncertainty_score":0.005057752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260085003608562,"score_gpt":0.2437456374276815,"score_spread":0.2177371370668253,"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."}}