{"id":"W4413472153","doi":"10.1109/tvt.2025.3601669","title":"Fair Admission for Air–Ground NOMA-Assisted Semi-Grant-Free Transmission","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Science Foundation of Anhui Province; Natural Science Foundation of Chongqing; Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Noma; Transmission (telecommunications); Telecommunications; Computer science; Telecommunications link","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":[0.003756124,0.0007616288,0.001238922,0.001069691,0.002212716,0.00184396,0.002585241,0.0007682842,0.001552117],"category_scores_gemma":[0.01193389,0.0003389392,0.0006715526,0.001013722,0.00223444,0.002133506,0.003266299,0.001191101,0.000216026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169381,"about_ca_system_score_gemma":0.003464044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008044035,"about_ca_topic_score_gemma":0.00636184,"domain_scores_codex":[0.9967822,0.0009310895,0.0001528283,0.0004366506,0.0008477601,0.0008495212],"domain_scores_gemma":[0.9927043,0.003436748,0.0007498116,0.001196853,0.001267968,0.0006443415],"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":[0.00152078,0.0004134721,0.005303966,0.0001801191,0.0001540391,0.0008003229,0.001335689,0.6433503,0.04752836,0.1518143,0.003240452,0.1443581],"study_design_scores_gemma":[0.00003029883,0.00006767212,0.0003144051,0.000004857064,0.00001604195,0.00007905541,0.00004274916,0.9860098,0.002370219,0.01041604,0.0006139313,0.00003487365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1285305,0.0003832692,0.8678259,0.0002694041,0.0002142811,0.0001697468,0.00007824548,0.0005043631,0.002024371],"genre_scores_gemma":[0.9780988,0.0000748356,0.02088741,0.0000547522,0.00007643345,0.00005000853,0.00002177011,0.00001341394,0.0007226715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008044035,"threshold_uncertainty_score":0.0198645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158049324636759,"score_gpt":0.250102278066193,"score_spread":0.2342973456025171,"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."}}