{"id":"W3033348916","doi":"10.1109/tgcn.2020.2999815","title":"Secrecy Outage Probability of Energy-Harvesting Cooperative NOMA Transmissions With Relay Selection","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Engineering and Physical Sciences Research Council; Deutsche Forschungsgemeinschaft","keywords":"Relay; Secrecy; Computer science; Node (physics); Channel state information; Computer network; Selection (genetic algorithm); Energy harvesting; Outage probability; Channel (broadcasting); Relay channel; Energy (signal processing); Wireless; Telecommunications; Power (physics); Fading; Mathematics; Engineering; Computer security; Statistics; Artificial intelligence","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":[0.005319499,0.001471768,0.001614069,0.001166497,0.000971347,0.001621964,0.001067436,0.001310156,0.0008015613],"category_scores_gemma":[0.0152513,0.000472687,0.0007048616,0.001776322,0.002179782,0.001826295,0.001737392,0.0008078872,0.0001928843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565056,"about_ca_system_score_gemma":0.001275097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042064,"about_ca_topic_score_gemma":0.001512848,"domain_scores_codex":[0.9961963,0.001730843,0.0002369318,0.0003093965,0.001022173,0.0005045162],"domain_scores_gemma":[0.974621,0.02062923,0.001836409,0.001116944,0.001551076,0.0002453271],"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":[0.0009218978,0.00006863869,0.00789421,0.0003086384,0.0001515754,0.0009545538,0.0002835406,0.9434772,0.005810277,0.02123118,0.0006631875,0.01823517],"study_design_scores_gemma":[0.00003421611,0.0002833834,0.002817253,0.00003556745,0.0001053178,0.0005929701,0.000153989,0.9831492,0.005768913,0.006722311,0.0002818805,0.00005504829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455997,0.005068117,0.4319369,0.0007719276,0.0001521435,0.0001046057,0.0005105191,0.0004365387,0.01541962],"genre_scores_gemma":[0.9949845,0.0005240164,0.003991601,0.00002733239,0.00002552844,0.0000283676,0.00006690733,0.0000129618,0.0003388051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005319499,"threshold_uncertainty_score":0.02813256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689355712941262,"score_gpt":0.2274429727120007,"score_spread":0.1905494155825881,"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."}}