{"id":"W4200219421","doi":"10.1109/commnet52204.2021.9641951","title":"Analysis of Superimposed LoRa in Multi-User Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; LPWAN; Computer network; Aloha; Context (archaeology); Multiplexing; Efficient energy use; Throughput; Wireless; Telecommunications; Wide area network; 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":[0.002026525,0.001142037,0.0009247772,0.001496204,0.001022895,0.001600496,0.00111432,0.001220395,0.002659811],"category_scores_gemma":[0.01322752,0.0007002051,0.0008273681,0.001237163,0.001976243,0.001801052,0.00158866,0.001147063,0.0005683643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222835,"about_ca_system_score_gemma":0.001302379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007016286,"about_ca_topic_score_gemma":0.00384305,"domain_scores_codex":[0.9983886,0.0007003766,0.00003173318,0.000137582,0.0004423322,0.0002992729],"domain_scores_gemma":[0.9912651,0.005643072,0.0008940335,0.0003997016,0.001476111,0.0003218229],"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":[0.00007289542,0.00003101682,0.001622734,0.00007559105,0.00005006155,0.0003403965,0.0001826007,0.9126688,0.001721248,0.07580836,0.001337801,0.006088535],"study_design_scores_gemma":[0.000003071355,0.00001502943,0.000293768,0.000009375937,0.000006422655,0.00007272351,0.00002381577,0.9929563,0.0001781413,0.006102724,0.0003277388,0.00001090771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867368,0.002498793,0.7684907,0.001325323,0.0001851766,0.0001766919,0.0002750063,0.0006112709,0.03970026],"genre_scores_gemma":[0.9772833,0.0009630769,0.01555839,0.0001333427,0.0001048906,0.00008548592,0.000107447,0.00009240702,0.005671788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007016286,"threshold_uncertainty_score":0.01616788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820296909936664,"score_gpt":0.2576526073948084,"score_spread":0.2394496382954417,"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."}}