{"id":"W2968997213","doi":"10.1109/stict.2019.8789372","title":"Energy Efficient Bike-Share Tracking System with BLE Beacons and LoRa Technology","year":2019,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Beacon; Computer science; Bluetooth Low Energy; Tracking (education); Tracking system; Embedded system; Real-time computing; Telecommunications; Wireless; Bluetooth; Kalman filter; Artificial intelligence","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":[0.0002966091,0.0004494305,0.0005630589,0.0008883651,0.0004471605,0.0005917713,0.000958148,0.0006717066,0.001769411],"category_scores_gemma":[0.0004859665,0.0002571356,0.0003183894,0.00058967,0.0001590834,0.001035187,0.0007039607,0.0003396232,0.001290269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987159,"about_ca_system_score_gemma":0.0002719266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134183,"about_ca_topic_score_gemma":0.001294588,"domain_scores_codex":[0.9995416,0.0000805655,0.0000261494,0.0001217816,0.00017802,0.0000519049],"domain_scores_gemma":[0.9997626,0.00003293853,0.00003919362,0.00004661909,0.00009724439,0.00002142552],"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":[0.001100611,0.0003711537,0.01292312,0.0004730692,0.0001411811,0.0006499399,0.0007466455,0.0113099,0.3465692,0.00427885,0.00963298,0.6118034],"study_design_scores_gemma":[0.0004179195,0.004456048,0.02804407,0.0001931715,0.0005221244,0.006406989,0.0005102571,0.4464501,0.4009559,0.002562473,0.1089892,0.0004917842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2019913,0.001412532,0.7686881,0.0003436323,0.0001772732,0.0002399408,0.0002520104,0.008823445,0.0180718],"genre_scores_gemma":[0.9093822,0.0004162607,0.07646602,0.0002083827,0.00004957028,0.0001585039,0.0003157595,0.0000640817,0.01293928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001769411,"threshold_uncertainty_score":0.005919337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003204432546314567,"score_gpt":0.1542278838906862,"score_spread":0.1510234513443717,"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."}}