{"id":"W4281671688","doi":"10.1049/cmu2.12431","title":"Resource allocation for IRS‐assisted MC MISO‐NOMA system","year":2022,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Noma; Resource allocation; Computer science; Resource (disambiguation); Computer network; Telecommunications; Environmental economics; Telecommunications link; Economics","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":[0.0002737561,0.000466123,0.0004533378,0.0002248299,0.0003931531,0.0005934377,0.0004324917,0.0002685095,0.001101741],"category_scores_gemma":[0.0005749111,0.0001564396,0.0001762272,0.0003600089,0.0003947769,0.0003587657,0.0004519107,0.0003230106,0.0002038759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949572,"about_ca_system_score_gemma":0.0005306947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299128,"about_ca_topic_score_gemma":0.003289785,"domain_scores_codex":[0.9996505,0.0001342702,0.0000109178,0.00006034101,0.00006626493,0.00007768589],"domain_scores_gemma":[0.9997471,0.000101803,0.00004498621,0.00002084491,0.00006127729,0.00002401286],"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":[0.000451077,0.0001078639,0.001809102,0.0001317723,0.00009610345,0.0006013117,0.0002035577,0.8720772,0.03616201,0.01657753,0.002683353,0.06909919],"study_design_scores_gemma":[0.00001133683,0.00005812861,0.0002338757,0.000002935647,0.00001157116,0.00006488737,0.00003585879,0.9961204,0.002089519,0.0008356837,0.0005283039,0.000007515005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2934685,0.001215677,0.6903753,0.0003907059,0.0001120694,0.00007109449,0.00008687558,0.0002613118,0.0140184],"genre_scores_gemma":[0.9846773,0.0001202895,0.01363166,0.00003662927,0.00002655801,0.00002320334,0.00001373188,0.00000484804,0.001465723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00299128,"threshold_uncertainty_score":0.005947769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492357967262469,"score_gpt":0.2579765728429064,"score_spread":0.2230529931702817,"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."}}