{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162767,0.001136755,0.0009231709,0.0005516643,0.0007986226,0.001023083,0.0007901686,0.001083773,0.001153602],"category_scores_gemma":[0.003888577,0.000252061,0.0004768574,0.0007537075,0.001054423,0.001211143,0.001099296,0.0007022718,0.0002330514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008345291,"about_ca_system_score_gemma":0.001081009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004019144,"about_ca_topic_score_gemma":0.002679965,"domain_scores_codex":[0.997973,0.0006857557,0.00008198054,0.0003007946,0.0004968273,0.0004616094],"domain_scores_gemma":[0.9942849,0.003489828,0.0006058031,0.0002520688,0.001231994,0.0001353932],"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":[0.001506954,0.0002367321,0.01214994,0.0007864031,0.0003424765,0.001469023,0.0007790549,0.8623086,0.06385975,0.01675074,0.001632993,0.03817736],"study_design_scores_gemma":[0.00001638613,0.0004148088,0.002222695,0.0000240016,0.0000713653,0.0004073289,0.0002495814,0.9835619,0.01093735,0.001769138,0.0002899679,0.00003540093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7563225,0.003344568,0.2108693,0.00087935,0.0001762427,0.0001026624,0.0002650843,0.0003151492,0.02772514],"genre_scores_gemma":[0.9958739,0.0003144704,0.003094272,0.00005276978,0.00001972832,0.00001579536,0.00004201605,0.000008780532,0.0005784145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004019144,"threshold_uncertainty_score":0.008608043,"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."}}