{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001186083,0.0002655144,0.0001327849,0.0001382832,0.0001595814,0.0002350518,0.0002270951,0.0002287574,0.001546262],"category_scores_gemma":[0.0003027921,0.00009590403,0.0001497541,0.0001284536,0.0001933311,0.0003549762,0.0002463124,0.0003139916,0.0005085812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002725815,"about_ca_system_score_gemma":0.0001675433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005798811,"about_ca_topic_score_gemma":0.0007681128,"domain_scores_codex":[0.9998531,0.00003110401,0.00000366271,0.00002054054,0.00007295169,0.00001861446],"domain_scores_gemma":[0.9998947,0.00003309172,0.00002522407,0.00001457907,0.00002802302,0.000004309802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002123584,0.00005681686,0.0009635898,0.0001302831,0.00002979952,0.0002498756,0.0001512969,0.1286787,0.71902,0.01118928,0.001204662,0.1381132],"study_design_scores_gemma":[0.00001200533,0.0002320883,0.001047477,0.00001567239,0.00001231565,0.0002537543,0.00003007302,0.8141491,0.1763482,0.002205512,0.005668111,0.00002580734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140949,0.0006129516,0.7732008,0.0002991042,0.00007384569,0.00004953101,0.00004141606,0.0009064195,0.01072121],"genre_scores_gemma":[0.9605401,0.000226123,0.03459188,0.00005542514,0.00003812537,0.00002327492,0.00004347873,0.00002764272,0.004454013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001546262,"threshold_uncertainty_score":0.005172789,"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."}}