{"id":"W2905881630","doi":"10.1109/access.2018.2888820","title":"Carrier Aggregated Radio-Over-Fiber Downlink for Achieving 2Gbps for 5G Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Predistortion; Telecommunications link; Computer science; Demodulation; Electronic engineering; Radio over fiber; Adjacent channel; Orthogonal frequency-division multiplexing; Broadband; Bit error rate; Adjacent channel power ratio; Transmission (telecommunications); Bandwidth (computing); Telecommunications; Channel (broadcasting); Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001224111,0.0002190802,0.0002256726,0.00009675628,0.0001966344,0.0001135956,0.0005173141,0.0001257204,0.00008469245],"category_scores_gemma":[0.00003656633,0.0002307683,0.0000980381,0.0002653328,0.00006763328,0.0004679454,0.0000168297,0.0001119045,0.0000491685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009604079,"about_ca_system_score_gemma":0.00002616202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008134783,"about_ca_topic_score_gemma":0.00001505331,"domain_scores_codex":[0.9988498,0.000009824386,0.0002765342,0.0003220796,0.0001080776,0.0004336739],"domain_scores_gemma":[0.9989434,0.0002316826,0.00006561758,0.0004859757,0.0001553856,0.0001179518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005131831,0.0002214908,0.001887164,0.002126234,0.001211384,0.000005934727,0.001746359,0.1070203,0.154408,0.004321031,0.2999315,0.4266075],"study_design_scores_gemma":[0.001594289,0.0000893967,0.0004391717,0.00007336452,0.0001109708,0.000007237523,0.00001702047,0.02587081,0.1498839,0.004685107,0.8164314,0.0007973319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008749755,0.0003247538,0.98466,0.00005288235,0.0009133803,0.00182466,0.0002521451,0.0005630291,0.002659358],"genre_scores_gemma":[0.9658247,0.00003910246,0.02538749,0.0002373395,0.002598407,0.003788487,0.0001126617,0.0002386132,0.001773238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9592726,"threshold_uncertainty_score":0.9410457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762355668896868,"score_gpt":0.3187524647455134,"score_spread":0.2911289080565448,"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."}}