{"id":"W3010234400","doi":"10.1109/globecom38437.2019.9014129","title":"Experimental Comparison of Energy Consumption and Proximity Accuracy of BLE Beacons","year":2019,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Beacon; Energy consumption; Computer science; Consumption (sociology); Energy (signal processing); Real-time computing; Statistics; Mathematics; Electrical engineering; Engineering","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":[0.0006522674,0.0005737541,0.0004240927,0.000929552,0.0002867108,0.0003271068,0.0007581782,0.0006929946,0.002891047],"category_scores_gemma":[0.004012589,0.0002170209,0.0002425444,0.0008555354,0.0003024173,0.0006129353,0.0003476844,0.0003452767,0.0005362196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277606,"about_ca_system_score_gemma":0.0001006151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005404696,"about_ca_topic_score_gemma":0.0008220197,"domain_scores_codex":[0.9990435,0.0002439799,0.00007923353,0.0001744529,0.00033479,0.0001240754],"domain_scores_gemma":[0.9962559,0.002067715,0.0002671889,0.0003422877,0.0009855871,0.00008132706],"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":[0.00715425,0.001051113,0.01588713,0.001591386,0.0002426987,0.0006614205,0.0009123138,0.03809443,0.7022476,0.001431945,0.002182945,0.2285428],"study_design_scores_gemma":[0.0002052142,0.009610586,0.05090402,0.0001209408,0.0003724626,0.001428769,0.0009497342,0.1059932,0.8221908,0.0007292543,0.007382334,0.0001126844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404518,0.0009326561,0.05265323,0.0001313728,0.0001646378,0.00009643233,0.0005201605,0.0006732508,0.004376469],"genre_scores_gemma":[0.9854624,0.0003294458,0.01075658,0.00004211625,0.00001797075,0.00007089169,0.0003429027,0.00004737137,0.002930268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002891047,"threshold_uncertainty_score":0.00967145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640341178547937,"score_gpt":0.261868692627017,"score_spread":0.2454652808415376,"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."}}