{"id":"W4393955155","doi":"10.23977/jeis.2024.090113","title":"Communication and sensing performance study of NOMA-ISAC system with IRS-assisted SWIPT","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noma; Computer science; Telecommunications; Telecommunications link","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005818501,0.00004878724,0.0001110269,0.0002153462,0.00007871613,0.0001093722,0.00009118387,0.00002359198,3.455547e-7],"category_scores_gemma":[0.0000104669,0.00003359577,0.000007596178,0.0003918172,0.00007014763,0.001773971,0.00001978905,0.0001524582,4.095968e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007683916,"about_ca_system_score_gemma":0.0000579283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004864381,"about_ca_topic_score_gemma":0.000005828851,"domain_scores_codex":[0.9993639,0.000006796829,0.0003127474,0.00003199895,0.000183291,0.0001012536],"domain_scores_gemma":[0.9996154,0.0000242787,0.00009407024,0.0000871954,0.0001465683,0.00003253069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002434706,0.000223465,0.01037573,0.006191481,0.0004530493,0.00001951836,0.03458077,0.04843953,0.04687584,0.1749945,0.0002593847,0.6773432],"study_design_scores_gemma":[0.0004986844,0.001264213,0.01563833,0.0004792926,0.00003000049,0.000701186,0.004431814,0.9724984,0.001825106,0.00001443948,0.002504853,0.0001137334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959905,0.0008674836,0.00211784,0.00003085652,0.00004730272,0.00006909957,3.195898e-7,0.00002426883,0.0008522902],"genre_scores_gemma":[0.9993521,0.0002812009,0.000353949,0.000003470111,0.000005058949,4.295621e-7,1.396838e-7,0.000002272541,0.000001357101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9240588,"threshold_uncertainty_score":0.1369996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004677688790604033,"score_gpt":0.2021537572701624,"score_spread":0.1974760684795583,"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."}}