{"id":"W2074072441","doi":"10.1109/isscc.2009.4977405","title":"A 0.13µm CMOS 655Mb/s 4×4 64-QAM K-Best MIMO detector","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; WiMAX; Detector; Quadrature amplitude modulation; Throughput; Spectral efficiency; CMOS; Realization (probability); Computer science; Electronic engineering; 3G MIMO; QAM; Computer network; Telecommunications; Engineering; Wireless; Bit error rate; Mathematics; Channel (broadcasting)","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":[0.0006251155,0.0006449866,0.0006935939,0.0008294031,0.0008805186,0.001667952,0.001566096,0.001601364,0.01479002],"category_scores_gemma":[0.0009596431,0.0006051263,0.0004299015,0.0008465282,0.0004083246,0.001168227,0.0007396159,0.001025749,0.01670569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009102421,"about_ca_system_score_gemma":0.001507863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335058,"about_ca_topic_score_gemma":0.003388216,"domain_scores_codex":[0.9990076,0.0001046633,0.00005184078,0.0002407246,0.0004564841,0.0001387503],"domain_scores_gemma":[0.999506,0.0001230701,0.00003996927,0.00004772186,0.0002299445,0.00005327424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005657328,0.0003161056,0.001497376,0.0005991227,0.0001432257,0.0007468698,0.0002667251,0.004654956,0.6726524,0.03379431,0.04182534,0.2429378],"study_design_scores_gemma":[0.0002348285,0.001714837,0.002233567,0.0002154698,0.0002561497,0.005359218,0.0001274647,0.07403409,0.49305,0.009069262,0.4134246,0.0002804387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03386292,0.002990246,0.8477509,0.002409024,0.001837068,0.0006725016,0.001516586,0.01292981,0.09603092],"genre_scores_gemma":[0.3208116,0.00119505,0.5744071,0.003602483,0.0005660002,0.000280356,0.0009216088,0.0003121566,0.09790357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01479002,"threshold_uncertainty_score":0.04947758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503177408709198,"score_gpt":0.2776014907066823,"score_spread":0.2525697166195903,"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."}}