{"id":"W2896139622","doi":"10.1109/percomw.2018.8480315","title":"BLE Beacon Based Patient Tracking in Smart Care Facilities","year":2018,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Beacon; Computer science; Usability; Bluetooth; Bluetooth Low Energy; Pipeline (software); Component (thermodynamics); Software; Tracking (education); Real-time computing; Focus (optics); Wireless; Embedded system; Tracking system; Location tracking; Human–computer interaction; Artificial intelligence; Kalman filter; Telecommunications; Operating system","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":[0.001104816,0.0002618236,0.0003575033,0.0007521968,0.0004759632,0.001387608,0.001243941,0.001272315,0.005026234],"category_scores_gemma":[0.002713284,0.0003900026,0.0003189216,0.001065603,0.0003896685,0.001621783,0.001564169,0.000624047,0.002114052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006327613,"about_ca_system_score_gemma":0.0005516357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031266,"about_ca_topic_score_gemma":0.004122138,"domain_scores_codex":[0.9990972,0.0003224832,0.00005357092,0.0001479931,0.0002647572,0.0001139456],"domain_scores_gemma":[0.9990693,0.0003046482,0.0001458311,0.0002104097,0.0001664644,0.0001034016],"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":[0.001840497,0.0004650129,0.03297222,0.0007229933,0.0001051075,0.001649572,0.003326291,0.04498628,0.07386909,0.02899247,0.04142124,0.7696493],"study_design_scores_gemma":[0.0008961454,0.004225302,0.04995118,0.0007214511,0.000339796,0.006847543,0.003296245,0.5473481,0.1142772,0.03761971,0.2339552,0.0005220274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1458453,0.001148501,0.8169879,0.002486618,0.0002464491,0.0003828876,0.0009680394,0.01313799,0.01879631],"genre_scores_gemma":[0.7385848,0.0008471239,0.2501383,0.0005664856,0.00008716052,0.0002306324,0.0006213658,0.0002001329,0.008724002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005026234,"threshold_uncertainty_score":0.01681441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136695089555555,"score_gpt":0.2448160519775078,"score_spread":0.2234491010819523,"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."}}