{"id":"W7147509507","doi":"10.5281/zenodo.19347724","title":"Optimizing Bias for Enhanced Mach-Zehnder Modulator Performance in RF-Gain Compensated OFDM Radio-Over-Fiber Systems","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Radio over fiber; Orthogonal frequency-division multiplexing; Broadband; Optical fiber; Radio frequency; Multiplexing; Modulation (music); Frequency-division multiplexing; Electro-optic modulator; Wireless","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":[0.0002091198,0.0003354847,0.0002381515,0.0001966186,0.0002180405,0.000484064,0.0002423202,0.0003721629,0.0004680248],"category_scores_gemma":[0.0004537546,0.0001224172,0.0001343089,0.000219061,0.0002052363,0.0003207588,0.0001762035,0.0001269082,0.0001749931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841168,"about_ca_system_score_gemma":0.0002618965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005354508,"about_ca_topic_score_gemma":0.001204718,"domain_scores_codex":[0.9998989,0.00001973967,0.000004557416,0.00002210112,0.00003549209,0.0000192421],"domain_scores_gemma":[0.9998618,0.00005124689,0.0000495017,0.000006050185,0.0000256537,0.000005772917],"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":[0.0002745944,0.00008949317,0.002408855,0.000157643,0.0000367772,0.0001137998,0.0001053125,0.08446015,0.8903435,0.002527712,0.0002629192,0.01921928],"study_design_scores_gemma":[0.0001029103,0.0005710264,0.003428871,0.00004543287,0.00008470035,0.0001440568,0.00006852927,0.5470586,0.4451545,0.001020245,0.002282934,0.0000381904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983346,0.001467564,0.09235305,0.0002345928,0.00004686892,0.00004768543,0.00005026073,0.0001859572,0.007279428],"genre_scores_gemma":[0.9899614,0.0001853768,0.009487346,0.00001155567,0.000006462053,0.000008949914,0.00000930919,0.00001311846,0.0003164394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005354508,"threshold_uncertainty_score":0.002786994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609002185738668,"score_gpt":0.2640080070662443,"score_spread":0.2031077884923775,"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."}}