{"id":"W4413982218","doi":"10.36680/j.itcon.2025.056","title":"A Deployable Solution for Indoor Tracking of Workers in Construction Sites through Bluetooth Low Energy Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Information Technology in Construction","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bluetooth Low Energy; Bluetooth; Architectural engineering; Tracking (education); Engineering; Low energy; Energy (signal processing); Systems engineering; Automotive engineering; Embedded system; Computer science; Civil engineering; Telecommunications; Wireless; 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":[0.0002396327,0.0005343897,0.0003589667,0.000700066,0.0003246998,0.0004078366,0.001136051,0.0007408296,0.001986401],"category_scores_gemma":[0.0005769226,0.0002167128,0.0003055825,0.0005116906,0.0002162284,0.0005867769,0.0009370325,0.0003973364,0.001439253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479418,"about_ca_system_score_gemma":0.0004168232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000984724,"about_ca_topic_score_gemma":0.001584218,"domain_scores_codex":[0.9996036,0.00007991955,0.00001445161,0.00007622625,0.0001654825,0.00006033754],"domain_scores_gemma":[0.9996829,0.0000510868,0.0000651973,0.00007653474,0.00009129669,0.00003305733],"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":[0.0003687951,0.0002743089,0.008690216,0.0004078724,0.00006568219,0.0007846385,0.0006579974,0.02953343,0.2556521,0.004561364,0.007138416,0.6918653],"study_design_scores_gemma":[0.0002614566,0.003069952,0.02349622,0.0001606806,0.0002662883,0.003247978,0.001180245,0.6351009,0.2308367,0.005192646,0.09696515,0.0002219719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05519972,0.0002851777,0.9379293,0.0001866316,0.00007487178,0.00008770285,0.00008755827,0.002333121,0.003815876],"genre_scores_gemma":[0.7078345,0.0003197749,0.2807261,0.0001637988,0.00004956565,0.0001953046,0.0002399584,0.00006181748,0.01040913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001986401,"threshold_uncertainty_score":0.006645203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005253542803384822,"score_gpt":0.2200820198336596,"score_spread":0.2148284770302748,"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."}}