{"id":"W4387587787","doi":"10.1109/ojcoms.2023.3323410","title":"Enhanced Hybrid Automatic Repeat Request Scheduling for Non-Terrestrial IoT Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada); Ericsson (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scheduling (production processes); 3rd Generation Partnership Project 2; Internet of Things; Computer network; Cellular network; Throughput; Telecommunications link; Distributed computing; Telecommunications; Wireless; Computer security; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152151,0.0001284334,0.0002697714,0.00002374544,0.000523711,0.0002235193,0.003019871,0.00007749461,0.000008106239],"category_scores_gemma":[0.00006386392,0.00009944537,0.0003744023,0.0003574148,0.00007363188,0.0001898711,0.000338199,0.0005617365,0.000007265051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108988,"about_ca_system_score_gemma":0.00008755195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005824576,"about_ca_topic_score_gemma":0.000007108797,"domain_scores_codex":[0.9988641,0.0001157793,0.0005695582,0.00007754399,0.0001335893,0.0002394241],"domain_scores_gemma":[0.9978727,0.0004774249,0.0002896442,0.001191914,0.0001060625,0.00006223021],"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":[0.0000209383,0.00003316956,0.0000176503,0.00004338657,0.0002569524,6.154352e-7,0.0007128606,0.8873754,0.001592853,0.00005251255,0.09916917,0.01072456],"study_design_scores_gemma":[0.0008821014,0.00004081174,0.00005914548,0.0004897296,0.00005102834,0.00001511913,0.000115534,0.9845914,0.001440881,0.0007101031,0.01147071,0.0001333835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2540596,0.002127252,0.6806304,0.01312942,0.01203788,0.03161295,0.00005201125,0.0006884848,0.005662092],"genre_scores_gemma":[0.9588925,0.0008070708,0.0381541,0.0001808378,0.0007982132,0.0008829925,0.000009134925,0.0000577225,0.0002174937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7048329,"threshold_uncertainty_score":0.5611722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05684922912866695,"score_gpt":0.335478935003852,"score_spread":0.278629705875185,"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."}}