{"id":"W3011892839","doi":"10.1049/iet-com.2019.0809","title":"Efficient linearisation technique for crosstalk and power amplifier non‐linearity suitable for massive MIMO transmitters","year":2020,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Indian Institute of Technology Roorkee","keywords":"Linearity; Crosstalk; Computer science; Amplifier; MIMO; Electronic engineering; Transmitter; Control theory (sociology); Telecommunications; Bandwidth (computing); Engineering; 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":[0.0002349305,0.0006385277,0.0002511403,0.0001998522,0.0002416412,0.0004812555,0.0005670111,0.0006277915,0.001663061],"category_scores_gemma":[0.0004416415,0.0002982754,0.0004846398,0.0002563264,0.0003610722,0.0006031475,0.0003501005,0.0007450954,0.0007795796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005829486,"about_ca_system_score_gemma":0.0003951291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007669941,"about_ca_topic_score_gemma":0.001175965,"domain_scores_codex":[0.9996922,0.00005575193,0.00001007317,0.00006093862,0.000150988,0.00003004733],"domain_scores_gemma":[0.999762,0.00008947051,0.00004932508,0.00004036515,0.00005068551,0.000008181149],"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":[0.0001703938,0.0001298743,0.001234145,0.0003924307,0.00008985103,0.0004716762,0.0003321649,0.3730372,0.5342724,0.01306255,0.001735433,0.07507205],"study_design_scores_gemma":[0.00001213704,0.0002617835,0.000590868,0.00002491131,0.00002917637,0.0003547447,0.00004129178,0.8375526,0.1535826,0.001387197,0.006134939,0.00002766373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03863707,0.0004537218,0.9541096,0.0001905668,0.00005041228,0.00006821731,0.00007779554,0.0008427132,0.005569877],"genre_scores_gemma":[0.8937916,0.0006126811,0.09760774,0.0001213975,0.00003671297,0.0001272732,0.0001099879,0.00008879682,0.007503719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001663061,"threshold_uncertainty_score":0.005563498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370306281545542,"score_gpt":0.2818312663930789,"score_spread":0.2481282035776234,"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."}}