{"id":"W1978165901","doi":"10.1109/icc.2014.6884046","title":"Two-step wireless positioning technique by exploitation of extended reference nodes","year":2014,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cramér–Rao bound; Computer science; Position (finance); Node (physics); Wireless; Hybrid positioning system; Wireless network; Real-time computing; Positioning system; Upper and lower bounds; Algorithm; Estimation theory; Telecommunications; Engineering; Mathematics","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":[0.0004114143,0.0006247173,0.0005486594,0.0006201879,0.0003244256,0.0003719699,0.001221184,0.000683126,0.0008648937],"category_scores_gemma":[0.001004434,0.000302537,0.0004047196,0.0008963387,0.0003217603,0.001151673,0.001365363,0.0005243908,0.0007788942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472327,"about_ca_system_score_gemma":0.0003537383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000460277,"about_ca_topic_score_gemma":0.0006523277,"domain_scores_codex":[0.9995514,0.00008590193,0.00001986519,0.0001286163,0.0001858886,0.00002837555],"domain_scores_gemma":[0.9995506,0.0001030672,0.00006478273,0.0001470511,0.0001134366,0.00002093817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000372795,0.00008721826,0.002009548,0.0002747423,0.0001079429,0.0007327929,0.0004377551,0.09394164,0.2653549,0.02045364,0.001845427,0.6143816],"study_design_scores_gemma":[0.0001104718,0.001228583,0.002930527,0.00005674333,0.0001618776,0.003318286,0.0001181092,0.8200901,0.138004,0.007508245,0.02634284,0.0001302465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01551294,0.0003398302,0.9822832,0.00004599277,0.00003980647,0.00001959873,0.00001847592,0.0003524692,0.001387773],"genre_scores_gemma":[0.3924372,0.0005494452,0.6002681,0.00007944967,0.00009135657,0.0001107185,0.000138099,0.00005370934,0.006271906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001221184,"threshold_uncertainty_score":0.002893329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007476385603471279,"score_gpt":0.2211899224268236,"score_spread":0.2137135368233523,"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."}}