{"id":"W4254029089","doi":"10.36227/techrxiv.16653028","title":"A Power and Spectrum Efficient Uplink Transmission Scheme for QoS-Constrained IoT Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Multiplexing; Spectral efficiency; Computer science; Network packet; Transmission (telecommunications); Computer network; Telecommunications link; Throughput; Wireless; Statistical time division multiplexing; Electronic engineering; Channel (broadcasting); Telecommunications; 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":[0.0004268955,0.0004559544,0.000379968,0.0002784512,0.0005929148,0.0004279993,0.0006156276,0.0002981807,0.001421777],"category_scores_gemma":[0.000857933,0.0001544915,0.0002440133,0.0004440882,0.0004160431,0.0005171521,0.0006813194,0.0003534956,0.0002694463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399902,"about_ca_system_score_gemma":0.00033419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004288602,"about_ca_topic_score_gemma":0.001060038,"domain_scores_codex":[0.9996762,0.0001308967,0.0000197513,0.00004115967,0.00008270339,0.00004919426],"domain_scores_gemma":[0.999508,0.0001779833,0.00008009242,0.00009207836,0.0001136335,0.00002815759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008495068,0.0003035249,0.00146762,0.0003385367,0.0001040494,0.0005826818,0.0003029618,0.2457306,0.344451,0.07553705,0.004393457,0.325939],"study_design_scores_gemma":[0.00001655122,0.0002052155,0.0002773562,0.0000149507,0.00002497847,0.0002045149,0.00004392127,0.9673288,0.02532789,0.004520451,0.002011843,0.00002349353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09845472,0.0004515089,0.8946355,0.0001937559,0.0001092774,0.00004771657,0.00006380525,0.0002737769,0.005769894],"genre_scores_gemma":[0.9062482,0.000215755,0.0914237,0.0000905082,0.00006971344,0.00004966028,0.0000519508,0.00002113525,0.00182941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001421777,"threshold_uncertainty_score":0.004756331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010054589263288,"score_gpt":0.2362417738267656,"score_spread":0.2261412279341328,"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."}}