{"id":"W3217173666","doi":"10.1109/ojcoms.2021.3129218","title":"NOMA-Based User Cooperation With Incremental Hybrid Forwarding Protocols","year":2021,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Protocol (science); Throughput; Transmission (telecommunications); Computer network; Outage probability; Decoding methods; Noma; Data transmission; Wireless; Channel (broadcasting); Telecommunications; Telecommunications link; Fading","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":[0.00216084,0.001258705,0.0008371829,0.000787515,0.0008836687,0.001211822,0.001465958,0.0009563244,0.0008153205],"category_scores_gemma":[0.004709107,0.0003007322,0.0005963797,0.0007458121,0.001637831,0.001477671,0.001727992,0.0006107087,0.0001416771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023252,"about_ca_system_score_gemma":0.001150506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002517337,"about_ca_topic_score_gemma":0.002820009,"domain_scores_codex":[0.9987791,0.0005185198,0.00004609566,0.0001481964,0.0002819074,0.0002260929],"domain_scores_gemma":[0.9954112,0.003218208,0.0004103982,0.0003238187,0.0005356424,0.0001006438],"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":[0.000353862,0.0001380582,0.002569056,0.0001915239,0.0001448481,0.0008058163,0.0006273477,0.854401,0.01456655,0.09362581,0.0007312494,0.03184484],"study_design_scores_gemma":[0.00001445576,0.0001952066,0.0002378263,0.0000105731,0.00004464552,0.000283569,0.00008103533,0.987021,0.001959287,0.009642862,0.0004873726,0.00002214789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2616935,0.001321243,0.7246038,0.000331468,0.00009997909,0.0001706643,0.00009614758,0.000262846,0.01142038],"genre_scores_gemma":[0.9831312,0.0002106444,0.01569244,0.00004786967,0.00002358749,0.00005142837,0.00001515025,0.000006033715,0.00082168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002517337,"threshold_uncertainty_score":0.01142776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725770053140784,"score_gpt":0.3134841082695404,"score_spread":0.2662264077381326,"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."}}