{"id":"W4407900065","doi":"10.1109/twc.2025.3542359","title":"Performance Analysis for NOMA-Assisted LEO Communications: A Two-Dimensional Stochastic Geometric Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Major Science and Technology Project of Hainan Province; National Natural Science Foundation of China","keywords":"Noma; Computer science; Stochastic geometry; Wireless; Telecommunications; Mathematics; Telecommunications link; Statistics","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":[0.001812298,0.001430258,0.0009521319,0.001374749,0.0005419687,0.001810749,0.001366168,0.001195141,0.00250866],"category_scores_gemma":[0.006526351,0.0005100945,0.0009066926,0.00110655,0.001326835,0.001773803,0.001881987,0.001093362,0.0005115246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002294407,"about_ca_system_score_gemma":0.001260812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005498182,"about_ca_topic_score_gemma":0.002314721,"domain_scores_codex":[0.9987318,0.0004617313,0.00003412217,0.0001441802,0.0003908816,0.0002372034],"domain_scores_gemma":[0.9965042,0.002027904,0.0005758197,0.0001637489,0.0006081845,0.0001201565],"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":[0.00002181555,0.00001362303,0.0004992818,0.0000323665,0.00001812793,0.00008213153,0.00003727949,0.9677222,0.0007136075,0.02747795,0.0004537179,0.002927908],"study_design_scores_gemma":[0.000001362408,0.0000104497,0.0001287617,0.000002635219,0.000003226584,0.00003132065,0.00001236838,0.9972727,0.00009254523,0.002282737,0.0001557095,0.000006184896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05203766,0.001287253,0.9348204,0.0008889426,0.00008017474,0.00005778637,0.0002039554,0.0002161582,0.01040773],"genre_scores_gemma":[0.9611776,0.002051536,0.03036854,0.0002210064,0.0001788793,0.0001260736,0.0003065304,0.0000927973,0.005477123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005498182,"threshold_uncertainty_score":0.01664716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0540703978238691,"score_gpt":0.2911504398161068,"score_spread":0.2370800419922377,"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."}}