{"id":"W4312378239","doi":"10.1109/pimrc54779.2022.9977935","title":"RIS Enabled Multi-User SWIPT for URLLC","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Maximum power transfer theorem; Network packet; Data transmission; Wireless; Information transfer; Channel (broadcasting); Transmission (telecommunications); Block (permutation group theory); Real-time computing; Latency (audio); Computer network; Power (physics); Telecommunications","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":[0.0002384039,0.0005278176,0.0007113601,0.0002152197,0.0003738033,0.0006803598,0.000577257,0.0006937883,0.0009110968],"category_scores_gemma":[0.0004264367,0.0001553104,0.0003400774,0.0004544411,0.0005121976,0.0006423821,0.0006573109,0.0003883424,0.0002565582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005034428,"about_ca_system_score_gemma":0.0004084239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284853,"about_ca_topic_score_gemma":0.001816786,"domain_scores_codex":[0.9997525,0.00006881945,0.000008085218,0.00004384538,0.00006718673,0.00005958929],"domain_scores_gemma":[0.9997893,0.00008493252,0.00003804657,0.00002775139,0.00004521784,0.00001482897],"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":[0.0004200953,0.0001545217,0.001629104,0.0004897948,0.0001029201,0.003734038,0.0002970819,0.7791257,0.132395,0.02230738,0.001727914,0.05761647],"study_design_scores_gemma":[0.000008663754,0.0001604822,0.0003102641,0.000007489649,0.00002264225,0.0002932715,0.00005079564,0.9884997,0.007289812,0.002638807,0.0007039288,0.00001417016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2632546,0.001233026,0.7178509,0.0003603659,0.0001125189,0.00007791691,0.0002103782,0.0008959209,0.0160045],"genre_scores_gemma":[0.9799255,0.0001886654,0.01806242,0.00005171822,0.00001798086,0.00002324385,0.00002653747,0.00001263246,0.001691233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001284853,"threshold_uncertainty_score":0.003652692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830293969799081,"score_gpt":0.2754930261145998,"score_spread":0.257190086416609,"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."}}