{"id":"W3172697875","doi":"10.1109/access.2021.3089582","title":"Highly Efficient Front End Direct Conversion Receiver for 28-GHz Wireless Access Point","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Waterloo; Institut National de la Recherche Scientifique; McMaster University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Macquarie University","keywords":"Demodulation; Phase shift module; Phase-shift keying; RF front end; Computer science; QAM; Electronic engineering; Radio receiver design; Wideband; Quadrature amplitude modulation; Antenna (radio); Telecommunications; Electrical engineering; Channel (broadcasting); Engineering; Microwave; Bit error rate; Transmitter","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":[0.0001796875,0.0002828778,0.0003493597,0.0001205698,0.00008331437,0.0002718157,0.0005120848,0.0001372705,0.0001430108],"category_scores_gemma":[0.00004218336,0.0002876224,0.0001507058,0.0002185277,0.00003054259,0.0003001533,0.0001078859,0.0001729463,0.00004490738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559708,"about_ca_system_score_gemma":0.00004025625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005462512,"about_ca_topic_score_gemma":0.0000177913,"domain_scores_codex":[0.9986027,0.00002558935,0.0003120496,0.0003988898,0.0002061852,0.0004545251],"domain_scores_gemma":[0.9990875,0.0001668971,0.00004463227,0.0004147817,0.0001455528,0.0001406572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005959626,0.0001359263,0.0004187111,0.001151738,0.0003009883,0.0001645917,0.0005775305,0.7234153,0.1094655,0.0001087709,0.1561855,0.008015789],"study_design_scores_gemma":[0.0008347611,0.00002099383,0.0007665606,0.0001717827,0.00005625275,0.00001873113,0.00003615746,0.1725607,0.7908984,0.00004547655,0.0340602,0.0005300079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775161,0.001209472,0.1075173,0.0001676593,0.005285736,0.0004032534,0.0001033183,0.0007145329,0.007082628],"genre_scores_gemma":[0.9976724,0.000203175,0.0005075614,0.0001051362,0.0003485193,0.00003929191,0.00004641083,0.00008389535,0.0009936175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6814328,"threshold_uncertainty_score":0.9999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686577509359383,"score_gpt":0.2479300177713038,"score_spread":0.23106424267771,"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."}}