{"id":"W2889409284","doi":"10.1109/iwcmc.2018.8450523","title":"Energy Efficiency Analysis of Centralized-Synchronous LoRa-based MAC Protocols","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Efficient energy use; Embedded system; 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":[0.00168116,0.0004282752,0.0004958877,0.0006660888,0.0003848587,0.0005419742,0.0007181509,0.0002800168,0.0006735772],"category_scores_gemma":[0.00433712,0.0001271607,0.0003197317,0.0004940387,0.0005982453,0.0007664505,0.000398981,0.0003891197,0.0001266743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147104,"about_ca_system_score_gemma":0.0008317236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892928,"about_ca_topic_score_gemma":0.001163185,"domain_scores_codex":[0.9990834,0.0002696959,0.00003919206,0.00009788309,0.0003844772,0.0001254217],"domain_scores_gemma":[0.9954748,0.002899225,0.0003835,0.0004583751,0.0007099489,0.00007411607],"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":[0.0001933078,0.0001464373,0.003602011,0.0001154279,0.00006166656,0.0001011425,0.0001004534,0.9333299,0.01672183,0.02118523,0.0006818232,0.02376079],"study_design_scores_gemma":[0.000005612438,0.00007217589,0.0008723621,0.0000042097,0.00001146233,0.00002727913,0.0000250745,0.9939694,0.003686035,0.001095934,0.0002247116,0.000005713154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6464305,0.00151163,0.3347771,0.0003325457,0.00004481238,0.0001087965,0.0001587607,0.0004241588,0.01621164],"genre_scores_gemma":[0.9920803,0.0001527722,0.007142718,0.00001444236,0.00001059356,0.00002809872,0.00004188918,0.00001709367,0.0005121198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001892928,"threshold_uncertainty_score":0.008890927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153981636460888,"score_gpt":0.2613927891118817,"score_spread":0.2498529727472728,"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."}}