{"id":"W4309258685","doi":"10.32920/21576663.v1","title":"Adaptive Asymmetric Linearization of Radio Over Fiber Links for Wireless Access","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radio over fiber; Nonlinear distortion; Compensation (psychology); Telecommunications link; Computer science; Linearization; Distortion (music); Electronic engineering; SIGNAL (programming language); Wireless; Nonlinear system; Control theory (sociology); Telecommunications; Physics; Engineering; Bandwidth (computing); Control (management)","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":[0.0002377449,0.0002413739,0.0004646197,0.0003448361,0.00004041986,0.0000392865,0.0009284787,0.0003572783,0.0004798232],"category_scores_gemma":[0.00004821846,0.0002705653,0.0001684635,0.0004997853,0.00002228212,0.0001236082,0.00094028,0.0008522918,0.000004490867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148752,"about_ca_system_score_gemma":0.00008233904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009905911,"about_ca_topic_score_gemma":0.00001237392,"domain_scores_codex":[0.9986417,0.00005758783,0.0005869369,0.0002830934,0.000256382,0.0001742925],"domain_scores_gemma":[0.9980725,0.0004039772,0.0002552369,0.001054782,0.0001662869,0.00004724062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002637137,0.00003780887,0.0001416803,0.0006153666,0.000224237,3.008216e-7,0.0002918717,0.9807276,0.0001075453,0.001504854,0.001736757,0.01458561],"study_design_scores_gemma":[0.0005314829,0.00003053642,0.0004243546,0.0001031446,0.00005092821,0.00000106459,0.00008888612,0.9553557,0.003015612,0.0006067327,0.03935931,0.0004322455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008469864,0.002110359,0.9310908,0.00003337016,0.001554483,0.002935079,0.0005146896,0.000678031,0.0526133],"genre_scores_gemma":[0.9766863,0.0003952872,0.01724654,0.0000223514,0.000128026,0.001175887,0.0005119201,0.0001427074,0.003690983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682164,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148808607699817,"score_gpt":0.3105010195750711,"score_spread":0.2690129334980729,"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."}}