{"id":"W3158238597","doi":"10.1109/tvt.2021.3076565","title":"Cooperative SM-Based NOMA Scheme With SWIPT","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Maximum power transfer theorem; Relay; Base station; Noma; Wireless; Computer science; Transmitter power output; Convex optimization; Signal-to-noise ratio (imaging); Electronic engineering; Power (physics); Iterative method; Algorithm; Mathematical optimization; Mathematics; Regular polygon; Telecommunications; Engineering; Channel (broadcasting); Telecommunications link; Transmitter","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":[0.0006567179,0.001049154,0.0009826818,0.0004413875,0.0008558378,0.0007585526,0.001274645,0.0007693288,0.000941896],"category_scores_gemma":[0.001289217,0.000368551,0.0007123594,0.0009290746,0.0007105275,0.001266989,0.001537662,0.0007654527,0.000470369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003918339,"about_ca_system_score_gemma":0.0007640565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009539642,"about_ca_topic_score_gemma":0.002082708,"domain_scores_codex":[0.9990712,0.0003711596,0.00004703479,0.0001697378,0.0001981618,0.0001425679],"domain_scores_gemma":[0.9993247,0.0002488952,0.0001016915,0.0001313246,0.000147305,0.00004602176],"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":[0.001033607,0.0003535656,0.002922187,0.001103554,0.0004379681,0.003194481,0.001120422,0.4011354,0.1496757,0.09701007,0.008211448,0.3338016],"study_design_scores_gemma":[0.00005526244,0.0004243984,0.0003340743,0.00003536935,0.00007965384,0.001497964,0.0001586663,0.9671791,0.01056561,0.01409332,0.005529901,0.00004676204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04670946,0.001498018,0.9396544,0.0003425498,0.0002028602,0.0000886858,0.00008975209,0.0003516427,0.01106274],"genre_scores_gemma":[0.8919099,0.0005537917,0.1031835,0.0002510293,0.00009801076,0.0001344296,0.00006723799,0.000016531,0.003785607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001274645,"threshold_uncertainty_score":0.003473103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008480560932910547,"score_gpt":0.2121056553666416,"score_spread":0.203625094433731,"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."}}