{"id":"W2911313844","doi":"10.1109/iwqos.2018.8624157","title":"Throughput, Coverage and Scalability of LoRa LPWAN for Internet of Things","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"LPWAN; Throughput; Computer science; Scalability; Computer network; Overhead (engineering); Byte; Default gateway; Network packet; Physical layer; Wide area network; Wireless; Database; Computer hardware; 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":[0.001037979,0.0004484133,0.0003914827,0.0007606673,0.0004384753,0.0006650894,0.0004369806,0.0004655471,0.0005616147],"category_scores_gemma":[0.004616037,0.0001903786,0.0002735764,0.001015128,0.0005603835,0.0008670618,0.0004759686,0.0004045613,0.0001957908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137315,"about_ca_system_score_gemma":0.0004320736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004715663,"about_ca_topic_score_gemma":0.00211393,"domain_scores_codex":[0.9988555,0.0003199786,0.00004906718,0.0001381448,0.0004644366,0.0001729456],"domain_scores_gemma":[0.9970962,0.001577232,0.0003291746,0.0002889582,0.0006336474,0.00007483974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003184464,0.0001207455,0.01991206,0.0001261734,0.00007742424,0.000286854,0.000246389,0.9062991,0.02779087,0.004274238,0.003059202,0.03748851],"study_design_scores_gemma":[0.00001490157,0.0001709657,0.008928175,0.00001204291,0.00002268024,0.0001862134,0.0001336107,0.9762315,0.01173247,0.001255656,0.001272729,0.0000390553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919782,0.0009936998,0.08746504,0.0008654632,0.00007619124,0.00008678555,0.0009161832,0.002346214,0.01527217],"genre_scores_gemma":[0.9960119,0.0001902566,0.003136582,0.00002712251,0.00001096118,0.00002325285,0.0003137132,0.00002709676,0.0002592055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004715663,"threshold_uncertainty_score":0.009376407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118150076783963,"score_gpt":0.2450544616709327,"score_spread":0.2338729609030931,"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."}}