{"id":"W3210245180","doi":"10.1364/sppcom.2021.spth1d.4","title":"Joint Transmitter and Receiver IQ Differential Phase Calibration using a single 4×8 MIMO Equalizer","year":2021,"lang":"en","type":"article","venue":"OSA Advanced Photonics Congress 2021","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Transmitter; Equalizer; Differential phase; Robustness (evolution); MIMO; Joint (building); Skew; Computer science; Electronic engineering; Telecommunications; Beamforming; Engineering","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":[0.001449122,0.001319163,0.000988103,0.001098439,0.0008098075,0.001374422,0.0017071,0.00133059,0.004034039],"category_scores_gemma":[0.002014317,0.0007697278,0.0005995216,0.0007836404,0.0007229769,0.001989982,0.001915853,0.001321175,0.00236465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007682164,"about_ca_system_score_gemma":0.001148343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005706131,"about_ca_topic_score_gemma":0.00105885,"domain_scores_codex":[0.9977776,0.0003642135,0.0001263608,0.0005184679,0.0009116437,0.0003018238],"domain_scores_gemma":[0.9984988,0.0002477283,0.0002754178,0.0003270281,0.0005819452,0.00006913601],"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":[0.0008883864,0.0001820563,0.004656042,0.0003088829,0.0001826102,0.000349631,0.0002760779,0.01329351,0.7031366,0.01013787,0.001953458,0.2646348],"study_design_scores_gemma":[0.0001677874,0.0009793648,0.003390371,0.00007764519,0.0001892145,0.001450352,0.00008441305,0.1380302,0.8367153,0.002068725,0.01666617,0.0001804885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08218648,0.0005903656,0.904854,0.0003619857,0.0003887983,0.0003174809,0.0001216258,0.002545107,0.0086342],"genre_scores_gemma":[0.6250167,0.0002447836,0.3685074,0.0003618486,0.0002207677,0.0001792274,0.0001606853,0.0001105386,0.005198043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004034039,"threshold_uncertainty_score":0.01349521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933284575275531,"score_gpt":0.254653657904386,"score_spread":0.2253208121516307,"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."}}