{"id":"W4220745968","doi":"10.1061/9780784483961.037","title":"Feasibility Assessment and Enhancement of TOF-Based UWB RTLS for Non-Line-of-Sight Conditions on Construction Sites","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Non-line-of-sight propagation; Real-time locating system; Computer science; Multipath propagation; Residual; Line (geometry); Kalman filter; Multilateration; Ultra-wideband; Line-of-sight; Real-time computing; Engineering; Wireless; Telecommunications; Algorithm; Artificial intelligence; Mathematics; Node (physics)","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":[0.00128427,0.0005823419,0.0003597023,0.0004835948,0.000199938,0.0004388903,0.0008476481,0.0007458168,0.0007665338],"category_scores_gemma":[0.002928991,0.0001663913,0.0003495692,0.00028828,0.0002817272,0.0009237375,0.0006029351,0.0002684475,0.0003428586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793441,"about_ca_system_score_gemma":0.0004345209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007941747,"about_ca_topic_score_gemma":0.0008876802,"domain_scores_codex":[0.9990984,0.0002918569,0.00003538864,0.0000951486,0.0003882242,0.00009096484],"domain_scores_gemma":[0.998342,0.0004143866,0.0002306936,0.0001369366,0.0008250994,0.00005092587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00214371,0.0002563037,0.04972949,0.001100029,0.00007333644,0.001241565,0.000886249,0.1163556,0.5164132,0.002166645,0.0009923313,0.3086417],"study_design_scores_gemma":[0.0001170627,0.006622931,0.04266729,0.0001191529,0.0002431658,0.001762931,0.00134541,0.5258119,0.4119839,0.001089624,0.008113885,0.0001227418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5937626,0.0004450841,0.4012725,0.0002936471,0.00009607836,0.0001138091,0.0001174252,0.0005628932,0.003335994],"genre_scores_gemma":[0.9578568,0.0001838519,0.04121007,0.00002661666,0.00001299732,0.00004173844,0.00005408113,0.00001221498,0.0006016237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128427,"threshold_uncertainty_score":0.006791949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05858282337471942,"score_gpt":0.3769091979142025,"score_spread":0.3183263745394831,"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."}}