{"id":"W4225998828","doi":"10.48550/arxiv.2112.04550","title":"NOMA Empowered Integrated Sensing and Communication","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Noma; Computer science; Base station; Beamforming; Throughput; Power (physics); SIGNAL (programming language); Single antenna interference cancellation; Dual (grammatical number); Distributed computing; Computer network; Wireless; Telecommunications; Telecommunications link; Channel (broadcasting)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006603052,0.0002017817,0.0002237786,0.000166415,0.00008797371,0.00008178018,0.0002554795,0.0003627581,0.00002713611],"category_scores_gemma":[0.0000349616,0.0002501309,0.00006176252,0.0003007518,0.0001075879,0.000100617,0.0004540097,0.0005078139,0.000007661242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367804,"about_ca_system_score_gemma":0.00003408551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000142765,"about_ca_topic_score_gemma":0.0001765916,"domain_scores_codex":[0.9993345,0.00004941669,0.0001320586,0.0002974741,0.00002978956,0.0001567985],"domain_scores_gemma":[0.9991319,0.00003996768,0.00005031089,0.0006218576,0.0001123044,0.00004365383],"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":[0.00002757168,0.00003984017,0.00394347,0.0004534145,0.000380157,0.0003523336,0.001361101,0.9683366,0.001095957,0.01447351,0.0009068802,0.008629191],"study_design_scores_gemma":[0.0003165353,0.000009225895,0.0007807293,0.0002334832,0.00007544245,0.000008851011,0.002272441,0.9883478,0.003227005,0.003523648,0.0007617012,0.0004431215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127306,0.0004941979,0.1830981,0.0000236883,0.0002062159,0.0001218205,0.00001188892,0.0009231142,0.002390376],"genre_scores_gemma":[0.9972714,0.001364985,0.001015562,0.00001743582,0.000009776403,1.925149e-7,0.0001277924,0.00002713874,0.0001656757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845408,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618196746500894,"score_gpt":0.1604290382256456,"score_spread":0.1242470707606366,"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."}}