{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618756,0.0001468981,0.000179195,0.0001693711,0.0009987125,0.00003224999,0.00254451,0.00006757138,0.00001646059],"category_scores_gemma":[0.00008661934,0.00018602,0.00008174024,0.000501807,0.0001149288,0.0001131887,0.0008238538,0.0004024268,0.0000113485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183974,"about_ca_system_score_gemma":0.000028076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009748344,"about_ca_topic_score_gemma":0.00002519798,"domain_scores_codex":[0.998968,0.000131655,0.0003748814,0.0001582634,0.0001499539,0.0002172515],"domain_scores_gemma":[0.9953266,0.0005202751,0.0001099872,0.003918803,0.00008520068,0.00003909505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004054827,0.0004281758,0.000214888,0.0003839412,0.0002872206,0.000001193121,0.002192389,0.3507176,0.01967061,0.4302649,0.05365167,0.1421469],"study_design_scores_gemma":[0.0004022539,0.00004152827,0.0003200218,0.00002993872,0.00002237364,0.00001865214,0.006142319,0.2063302,0.001252968,0.0007250035,0.7844241,0.0002906315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02521586,0.0291276,0.7703227,0.0318168,0.0009576786,0.005992712,0.001209497,0.02948525,0.1058719],"genre_scores_gemma":[0.9511392,0.0002056361,0.04473231,0.0000569345,0.00001281066,0.002959785,0.0005906828,0.00004702556,0.0002556759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9259233,"threshold_uncertainty_score":0.768139,"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."}}