{"id":"W4312979465","doi":"10.1109/lwc.2022.3229843","title":"RIS-Assisted Cooperative NOMA With SWIPT","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Noma; Computer science; Computer network; Telecommunications link","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":[0.0003167554,0.0009828232,0.0007054221,0.0002793012,0.0003734332,0.0005168223,0.000959208,0.0004973391,0.0007357436],"category_scores_gemma":[0.0006201519,0.0003513462,0.0006154255,0.0005005317,0.0007161652,0.000959028,0.00105067,0.0006871629,0.0004645623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803061,"about_ca_system_score_gemma":0.0003907614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005135124,"about_ca_topic_score_gemma":0.001105647,"domain_scores_codex":[0.9995652,0.0001211508,0.00001645112,0.00008403417,0.0001324591,0.00008073168],"domain_scores_gemma":[0.9996917,0.0001095995,0.00006039307,0.00006645113,0.00005350983,0.00001833614],"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":[0.0004875499,0.0001571975,0.001534299,0.0003333135,0.0002078636,0.001043212,0.0004670525,0.4568816,0.2499731,0.04358217,0.003034158,0.2422984],"study_design_scores_gemma":[0.00002301346,0.0002268185,0.0001944025,0.000009099411,0.00003132946,0.0002805243,0.00003936173,0.9722429,0.01829425,0.006253735,0.002377789,0.00002681397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04650991,0.0002915713,0.9473159,0.0001261096,0.00006190995,0.00002861935,0.00003659395,0.0004581468,0.005171273],"genre_scores_gemma":[0.8389989,0.0001833014,0.1564843,0.0001765531,0.00005159746,0.00008136757,0.00006330582,0.00004141866,0.003919192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009828232,"threshold_uncertainty_score":0.002461255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020971244832278,"score_gpt":0.2333252032718554,"score_spread":0.2131154908235326,"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."}}