{"id":"W2946732060","doi":"","title":"Case study on application of wireless ultra-wideband technology for tracking equipment on a congested site","year":2019,"lang":"en","type":"article","venue":"University of Twente Research Information","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Real-time locating system; Wireless; Ultra-wideband; Engineering; Tracking (education); SAFER; Resource (disambiguation); Computer science; Real-time computing; Systems engineering; Telecommunications; Computer network; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005469866,0.00008483343,0.0001700304,0.001019762,0.0001114391,0.000009826168,0.0003572115,0.0001272675,0.000006283501],"category_scores_gemma":[0.0000636352,0.0000983823,0.00003907584,0.0005455946,0.00009711103,0.0003170567,0.00005040681,0.0002759858,0.00003825317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756187,"about_ca_system_score_gemma":0.00002536264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000128895,"about_ca_topic_score_gemma":0.00007741967,"domain_scores_codex":[0.9991879,0.00004776629,0.0002284516,0.0000962269,0.0002466623,0.0001930282],"domain_scores_gemma":[0.9986506,0.0002860805,0.0001043951,0.0005595768,0.0003695615,0.00002977071],"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":[0.001672801,0.002358534,0.05109364,0.001999702,0.0008367045,0.00004767602,0.03463521,0.04949186,0.1964073,0.03623636,0.001392639,0.6238276],"study_design_scores_gemma":[0.02132649,0.01208381,0.006721842,0.0009249775,0.0001864626,0.0002523663,0.3058935,0.2402848,0.3661891,0.001125348,0.04360733,0.001404007],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814891,0.000008951565,0.01498468,0.000137642,0.00002372168,0.001508853,0.00003092838,0.000127425,0.001688724],"genre_scores_gemma":[0.9996831,0.00002921359,0.0002005672,0.000003631586,0.000002059653,0.00001094677,0.0000385017,0.000006915209,0.00002507549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6224236,"threshold_uncertainty_score":0.4011914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280522872141518,"score_gpt":0.2869666700996418,"score_spread":0.2541614413782267,"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."}}