{"id":"W1996835738","doi":"10.1007/s10291-009-0158-8","title":"Accuracy and reliability of tightly coupled GPS/ultra-wideband positioning for surveying in urban environments","year":2010,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Global Positioning System; Reliability (semiconductor); Computer science; Position (finance); Filter (signal processing); GPS/INS; Ultra-wideband; Assisted GPS; GPS signals; Wideband; Electronic engineering; Engineering; Telecommunications; Physics; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001258466,0.0003380909,0.0003951302,0.0007627389,0.0004564464,0.0009353884,0.0008690018,0.000865256,0.0006500977],"category_scores_gemma":[0.008312433,0.0003885197,0.0002299542,0.0009399076,0.0006134456,0.0009168857,0.001192256,0.0004866263,0.0005639118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004684489,"about_ca_system_score_gemma":0.0004347113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004717818,"about_ca_topic_score_gemma":0.004755132,"domain_scores_codex":[0.9980672,0.0004033784,0.00008912976,0.0003540838,0.0008577732,0.0002285258],"domain_scores_gemma":[0.9934818,0.002087551,0.0006029866,0.0009615976,0.002727706,0.0001384605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003470875,0.0002118227,0.2310673,0.0004941011,0.0004683796,0.0003789156,0.001696333,0.1771665,0.2467351,0.002766832,0.001303026,0.3342409],"study_design_scores_gemma":[0.0001233195,0.001166367,0.3118293,0.00009069948,0.0007372089,0.001541486,0.001009549,0.4478058,0.229286,0.001822174,0.004378714,0.0002094166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899109,0.0006011284,0.1059257,0.00007788054,0.00006187036,0.00001555955,0.000187843,0.0004998699,0.002719311],"genre_scores_gemma":[0.9929677,0.00005588906,0.006297173,0.00001758079,0.00001225834,0.000004158159,0.0001363783,0.00002783815,0.000480917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004717818,"threshold_uncertainty_score":0.009380758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492056031827174,"score_gpt":0.2330403130906113,"score_spread":0.2181197527723395,"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."}}