{"id":"W4235636589","doi":"10.32920/ryerson.14643690.v1","title":"Performance analysis of OFDM-ROF system","year":2021,"lang":"en","type":"preprint","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Electronic engineering; Computer science; Wireless; Channel (broadcasting); Distortion (music); Additive white Gaussian noise; SIGNAL (programming language); Transmission (telecommunications); Telecommunications; Engineering; Bandwidth (computing); Amplifier","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":[0.000376258,0.0004581366,0.0005190753,0.0006757588,0.0004702817,0.0006244105,0.0003676458,0.0005099533,0.005288875],"category_scores_gemma":[0.001062375,0.0001061771,0.0003317217,0.0005614737,0.0002286911,0.0004848853,0.0002919009,0.0003509739,0.001047515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007689389,"about_ca_system_score_gemma":0.0003196604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880117,"about_ca_topic_score_gemma":0.001919924,"domain_scores_codex":[0.9993055,0.0001392286,0.00002712349,0.0001082481,0.0002908498,0.0001289276],"domain_scores_gemma":[0.9992499,0.00031169,0.00005978571,0.00005005594,0.0003138267,0.00001472309],"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":[0.001006335,0.0001230906,0.01275569,0.0005904017,0.0001839627,0.0009803531,0.0006341644,0.7014161,0.07075601,0.0302767,0.006636183,0.174641],"study_design_scores_gemma":[0.000007582357,0.000254804,0.003927447,0.00002445609,0.00002489201,0.0003699405,0.000100757,0.9820358,0.009457606,0.001222379,0.002549137,0.00002517765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4766205,0.005524924,0.4121973,0.0008837594,0.0002313618,0.0001713653,0.001035952,0.001958077,0.1013768],"genre_scores_gemma":[0.9866523,0.0008038452,0.007710543,0.00004381266,0.00004604819,0.00003122544,0.0002568443,0.00004211623,0.004413263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005288875,"threshold_uncertainty_score":0.01769304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193146510190431,"score_gpt":0.2147823846571462,"score_spread":0.2028509195552419,"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."}}