{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003427793,0.0002478455,0.000265482,0.000393503,0.0001805405,0.00002047116,0.0003745913,0.0003747322,0.00007940381],"category_scores_gemma":[0.00001171678,0.0002442046,0.00006347855,0.001302087,0.0002930484,0.0001061677,0.000003543141,0.0008176097,0.00008503493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130511,"about_ca_system_score_gemma":0.00006563851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001593071,"about_ca_topic_score_gemma":0.00006061886,"domain_scores_codex":[0.9990165,0.00002459375,0.000212857,0.0003051497,0.0001406642,0.0003001903],"domain_scores_gemma":[0.9985744,0.00005935954,0.00003279785,0.001114349,0.0001803207,0.00003876775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001737252,0.0001698168,0.00003158063,0.00003089588,0.0001536455,0.0001031715,0.0000233558,0.8670248,0.0987364,0.002590459,0.00004800844,0.03107052],"study_design_scores_gemma":[0.0006296058,0.0001248507,0.00001135242,0.00006006697,0.00001738361,0.00005748704,0.0002672779,0.0571381,0.9366454,0.000248462,0.00450008,0.0002999235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09209423,0.0005105939,0.9013304,0.001581321,0.00009809305,0.0001764722,0.00001703518,0.003825537,0.000366321],"genre_scores_gemma":[0.9527943,0.0001967552,0.04649477,0.00009089855,0.000004402882,0.0002629958,0.000007634352,0.0000595317,0.00008867652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8607001,"threshold_uncertainty_score":0.9958374,"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."}}