{"id":"W2947198368","doi":"10.1186/s13638-019-1457-6","title":"Energy-efficient radio-over-fiber system for next-generation cloud radio access networks","year":2019,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Optical Network Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Human Resource Development; National Research Foundation of Korea; Kyungpook National University; National Research Foundation","keywords":"Computer science; Radio over fiber; Baseband; Telecommunications link; Transmission (telecommunications); Electronic engineering; Orthogonal frequency-division multiplexing; Modulation (music); Data transmission; Telecommunications; Computer network; Channel (broadcasting); Bandwidth (computing); Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005555105,0.0002970744,0.0004000457,0.0001704049,0.0006250105,0.0006236866,0.001042455,0.0002189248,0.00001168926],"category_scores_gemma":[0.000006586388,0.0002766489,0.000132494,0.0004049312,0.00009008619,0.0002584038,0.0002523131,0.0007096393,0.000006794418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429082,"about_ca_system_score_gemma":0.00001770531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003038593,"about_ca_topic_score_gemma":0.000007877614,"domain_scores_codex":[0.9983338,0.0001405507,0.0005780478,0.0002435551,0.0002043072,0.0004997414],"domain_scores_gemma":[0.9979964,0.0005792262,0.000198545,0.0009953107,0.00009109334,0.0001393856],"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":[0.00003367957,0.00005311705,0.0005772086,0.00004981659,0.0001478539,0.000003568438,0.00005281506,0.7284394,0.0003697713,0.02270161,0.002500747,0.2450704],"study_design_scores_gemma":[0.0005296429,0.00008228448,0.000116512,0.0003814084,0.00004026208,0.00006521688,0.00005512557,0.9603689,0.00007755834,0.00005887629,0.03791606,0.0003081324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7427502,0.04569387,0.1963668,0.0008334728,0.006967822,0.001095438,0.00001212009,0.001398673,0.004881545],"genre_scores_gemma":[0.9843051,0.01125922,0.002709382,0.00006404767,0.001441457,0.00005650012,0.00002691146,0.00008326802,0.00005414166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2447623,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219862072417779,"score_gpt":0.2575951927902327,"score_spread":0.2153965720660549,"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."}}