{"id":"W2132125298","doi":"10.1109/cwit.2011.5872134","title":"Spectrally factorized optical OFDM","year":2011,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Bandwidth (computing); Autocorrelation; Algorithm; Computer science; Multiplexing; Transmission (telecommunications); Data transmission; Frequency domain; Electronic engineering; Mathematics; Telecommunications; Channel (broadcasting); Engineering; Statistics; Computer network","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":[0.0001560862,0.000395721,0.0002487293,0.0003556883,0.0002359247,0.0003622402,0.0003501671,0.0002666542,0.00268801],"category_scores_gemma":[0.0004774859,0.0001162153,0.0002171432,0.0002884461,0.0002856304,0.0006041929,0.0002879767,0.0003119376,0.0006210832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157652,"about_ca_system_score_gemma":0.0002967027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003380352,"about_ca_topic_score_gemma":0.0006613885,"domain_scores_codex":[0.9998415,0.00002225422,0.000006311903,0.000025984,0.00008262575,0.00002135935],"domain_scores_gemma":[0.9997879,0.00005260975,0.00003736019,0.00002994898,0.00008183659,0.00001037691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003441679,0.0001189212,0.0004647156,0.0001598546,0.00002315144,0.0001805146,0.00009708878,0.02606131,0.4568313,0.05366106,0.003134977,0.458923],"study_design_scores_gemma":[0.00006612846,0.0007251534,0.0007743298,0.0000508643,0.00004392914,0.0009873548,0.00006417904,0.5501108,0.3640819,0.01988466,0.06314126,0.00006950345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05771013,0.0006321095,0.9286055,0.0001715801,0.0001487804,0.00005215257,0.00008529508,0.0007563535,0.01183804],"genre_scores_gemma":[0.4518966,0.0006547796,0.5388761,0.0001348616,0.0001147717,0.00007509459,0.0001266429,0.00006620851,0.008054972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00268801,"threshold_uncertainty_score":0.008992314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571569988396913,"score_gpt":0.1909881919217832,"score_spread":0.155272492037814,"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."}}