{"id":"W4400904778","doi":"10.1109/twc.2024.3426521","title":"MIMO-NOMA Enabled Sectorized Cylindrical Massive Antenna Array for HAPS With Spatially Correlated Channels","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noma; MIMO; Computer science; Wireless; Antenna (radio); Antenna array; Electronic engineering; Telecommunications; Telecommunications link; Channel (broadcasting); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001368042,0.0004417083,0.0004614871,0.0004564688,0.0006131354,0.0001649504,0.00139166,0.0003371268,0.00004890054],"category_scores_gemma":[0.00001904149,0.000431843,0.000210208,0.001228228,0.0003629157,0.0003907621,0.00001329186,0.001201897,0.0001006342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003269178,"about_ca_system_score_gemma":0.0001562997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001826223,"about_ca_topic_score_gemma":0.0002232337,"domain_scores_codex":[0.9981543,0.0001133729,0.0005770156,0.000432658,0.0002393232,0.000483347],"domain_scores_gemma":[0.9954017,0.001228096,0.00008368405,0.002860549,0.0003002345,0.0001257142],"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":[0.0002821376,0.0008318007,0.000008512643,0.0004537281,0.001452396,0.00002519136,0.00185714,0.6973203,0.1996344,0.01094102,0.000535335,0.08665796],"study_design_scores_gemma":[0.001412752,0.000235767,0.00001165825,0.0005821143,0.0001780089,0.00004732799,0.0004377205,0.8012027,0.1808942,0.001448514,0.01271138,0.0008379538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003705713,0.001278718,0.9859215,0.002178449,0.0008038206,0.0009513546,0.0002782418,0.004183529,0.0006986557],"genre_scores_gemma":[0.952536,0.003207551,0.04169631,0.00004718015,0.00003264159,0.001705647,0.0001137674,0.0001850442,0.0004758058],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9488304,"threshold_uncertainty_score":0.9998133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130803877616735,"score_gpt":0.2521046350501312,"score_spread":0.2307965962739638,"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."}}