{"id":"W4392158184","doi":"10.1109/globecom54140.2023.10437625","title":"Performance Analysis of Downlink NOMA-ISAC","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Noma; Telecommunications link; Computer science; Computer network; 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":[0.001433113,0.001224449,0.0009140039,0.0009464563,0.0009540061,0.001389373,0.0005574527,0.0007117915,0.001904998],"category_scores_gemma":[0.005266394,0.000273557,0.000384904,0.001142546,0.0009394264,0.000747947,0.001275477,0.0006089047,0.0004534357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589295,"about_ca_system_score_gemma":0.0016392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007688378,"about_ca_topic_score_gemma":0.005661733,"domain_scores_codex":[0.9981178,0.0005969643,0.00006320446,0.0002145126,0.0005583946,0.0004491831],"domain_scores_gemma":[0.9961778,0.001637134,0.0004390536,0.0003053474,0.001310767,0.0001299352],"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":[0.0004508354,0.00007329602,0.006022474,0.00023453,0.0001040667,0.0004438994,0.0001663838,0.92029,0.02355717,0.01580724,0.001758029,0.03109215],"study_design_scores_gemma":[0.000004646299,0.0001703416,0.001536181,0.00001651021,0.00003302812,0.0002682844,0.00008527668,0.9926499,0.003799076,0.0009322724,0.0004845473,0.00001994328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5811467,0.006451414,0.3563099,0.0007766251,0.000163598,0.0001461337,0.0006292632,0.00112216,0.05325421],"genre_scores_gemma":[0.991854,0.0005834699,0.006370254,0.00006806556,0.00004286198,0.00002635173,0.0001285631,0.00003159266,0.0008948564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007688378,"threshold_uncertainty_score":0.01528722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151456449345564,"score_gpt":0.2352617857973568,"score_spread":0.2201161408628005,"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."}}