{"id":"W3082266747","doi":"10.1109/lwc.2020.3020122","title":"8-QAM Division for Uplink Massive SIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Shandong University","keywords":"Telecommunications link; Computer science; Division (mathematics); QAM; Quadrature amplitude modulation; Computer network; Telecommunications; Bit error rate; Channel (broadcasting); Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008888174,0.0001920288,0.0002526681,0.00007127599,0.0002056044,0.00006919704,0.0007945549,0.00008548075,0.000002223135],"category_scores_gemma":[0.00003156393,0.0002163733,0.00007810177,0.0002701583,0.00006546938,0.0002521697,0.00007482165,0.0002080527,0.00005189378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177676,"about_ca_system_score_gemma":0.00001091006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009268411,"about_ca_topic_score_gemma":0.000003173223,"domain_scores_codex":[0.9990103,0.00005035364,0.0003975729,0.0001996322,0.000101857,0.0002402439],"domain_scores_gemma":[0.9983629,0.0002580828,0.0001020938,0.001080507,0.00008875808,0.0001076333],"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":[0.000004196398,0.00001174858,0.00004892362,0.0001499729,0.00004309544,6.005437e-7,0.0004915427,0.9262785,0.06447969,0.0009191585,0.00606105,0.001511568],"study_design_scores_gemma":[0.0003812937,0.00001640738,0.0000141353,0.00008556699,0.0000193836,0.000001064993,0.0001588395,0.9882621,0.002031842,0.000007488814,0.008769551,0.0002523459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01247858,0.0005285727,0.9781546,0.006476597,0.0004859352,0.0008852,0.00004800397,0.0006992616,0.0002432345],"genre_scores_gemma":[0.9796038,0.0001594716,0.01886007,0.0005558992,0.0001343112,0.0004457817,0.0001366772,0.00008800387,0.00001600736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9671252,"threshold_uncertainty_score":0.8823447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023553963082158,"score_gpt":0.2515279246381302,"score_spread":0.2212923850073086,"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."}}