{"id":"W3048576353","doi":"10.1109/tcsi.2020.3008804","title":"Power Scalable Beam-Oriented Digital Predistortion for Compact Hybrid Massive MIMO Transmitters","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Beijing National Research Center For Information Science And Technology","keywords":"Predistortion; MIMO; Beamforming; Electronic engineering; Computer science; Bandwidth (computing); Scalability; Engineering; Telecommunications; Amplifier","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006809526,0.0003010164,0.0003627906,0.00008949541,0.0001740304,0.0001078458,0.0001037477,0.00009525468,0.0000247279],"category_scores_gemma":[0.000006698894,0.0003075238,0.0001686288,0.0001672472,0.00007191295,0.0003339934,3.36465e-7,0.0001844896,0.0000125845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385754,"about_ca_system_score_gemma":0.0000269554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003656616,"about_ca_topic_score_gemma":6.455283e-7,"domain_scores_codex":[0.9986131,0.000023955,0.0003648914,0.000392744,0.0002424673,0.0003628042],"domain_scores_gemma":[0.9992303,0.00008507093,0.00005041923,0.0002153278,0.00005309149,0.0003657739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001576441,0.0001287914,0.00003730481,0.0009094868,0.000745743,0.0000318459,0.00278322,0.8420444,0.1316168,0.0001717611,0.004990635,0.01638234],"study_design_scores_gemma":[0.01312686,0.003179419,0.0004208064,0.001269973,0.0008121738,0.0003742267,0.007058335,0.3629675,0.1597417,0.0001216003,0.4460442,0.004883247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02175692,0.0003342017,0.9731738,0.0001725215,0.00115519,0.0009801007,0.0005870716,0.0004307727,0.001409423],"genre_scores_gemma":[0.9992822,0.00002764821,0.00004443499,0.00009012529,0.00006450857,0.00008548397,0.0000255667,0.000084347,0.0002956813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9775253,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334023174079041,"score_gpt":0.2001107580505752,"score_spread":0.1867705263097848,"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."}}