{"id":"W3111341309","doi":"10.1109/jiot.2020.3045447","title":"HARQ-Based Grant-Free NOMA for mMTC Uplink","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hybrid automatic repeat request; Telecommunications link; Computer science; Noma; Computer network; Network packet; Redundancy (engineering); Transmission (telecommunications); Exploit; Telecommunications; Computer security; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567591,0.001009047,0.0009353595,0.0008418662,0.001393309,0.001213203,0.001564628,0.0008656213,0.001888579],"category_scores_gemma":[0.006681984,0.0003399108,0.0006717956,0.001287843,0.001545408,0.001451986,0.002008525,0.001255211,0.0007741628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006408155,"about_ca_system_score_gemma":0.00165139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896732,"about_ca_topic_score_gemma":0.003414632,"domain_scores_codex":[0.9976745,0.001071553,0.0000885225,0.000209678,0.0006511643,0.0003046441],"domain_scores_gemma":[0.9950905,0.002211407,0.0005271543,0.0008991444,0.001088395,0.0001834448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001289624,0.0003737297,0.003204616,0.0008329539,0.0003378771,0.001220317,0.001092146,0.3459202,0.07036137,0.08315168,0.01073258,0.481483],"study_design_scores_gemma":[0.0001253268,0.0008155337,0.0007491641,0.00005136558,0.0001255463,0.001013335,0.0002757212,0.9600511,0.01504465,0.01393727,0.007675135,0.0001358564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03956367,0.001130841,0.9522634,0.0002695418,0.0003265368,0.0002472752,0.0001138033,0.0007047743,0.005380154],"genre_scores_gemma":[0.8223751,0.0007404644,0.1730485,0.0002855771,0.0003501273,0.0002450054,0.0001497931,0.00005057887,0.002754904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002567591,"threshold_uncertainty_score":0.01357889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151102243459912,"score_gpt":0.242694997417093,"score_spread":0.2111839749824939,"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."}}