{"id":"W2042167652","doi":"10.1364/oe.19.021880","title":"Digital subcarrier multiplexing for flexible spectral allocation in optical transport network","year":2011,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Subcarrier; Subcarrier multiplexing; Multiplexing; Computer science; Electronic engineering; Transmission (telecommunications); Bandwidth (computing); Modulation (music); Channel (broadcasting); Scalability; Phase-shift keying; Wavelength-division multiplexing; Orthogonal frequency-division multiplexing; Bit error rate; Optics; Computer network; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823816,0.0001368717,0.0000912926,0.000170673,0.0002874879,0.0003095354,0.0002368933,0.0001420817,0.0008421993],"category_scores_gemma":[0.0004605084,0.00006965894,0.00004301663,0.0001768147,0.000381097,0.0004054725,0.0002543297,0.0002120288,0.0001359611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004016604,"about_ca_system_score_gemma":0.0002104408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000337541,"about_ca_topic_score_gemma":0.0006616839,"domain_scores_codex":[0.9999146,0.00002179897,0.000003401238,0.000009934884,0.00003690694,0.00001315147],"domain_scores_gemma":[0.9998693,0.00005745468,0.00001738788,0.00002732562,0.00001877038,0.00000968437],"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":[0.0003566441,0.0001058728,0.00139792,0.0001004472,0.000009489027,0.0002581258,0.0001566557,0.06169208,0.7388179,0.07619691,0.001228097,0.1196799],"study_design_scores_gemma":[0.00004465137,0.0001562422,0.0005706361,0.00001261146,0.00001100476,0.0002619725,0.00004063425,0.5787301,0.3971105,0.01414435,0.00889458,0.0000227864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7315193,0.0007093374,0.2532367,0.0005009794,0.00008974897,0.00003851557,0.00005955893,0.0003668915,0.0134789],"genre_scores_gemma":[0.9565969,0.0001559922,0.04199987,0.00003925296,0.00001645088,0.00001302982,0.00001346595,0.00001025111,0.001154808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008421993,"threshold_uncertainty_score":0.00291425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445503098416119,"score_gpt":0.2208264721392244,"score_spread":0.1963714411550632,"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."}}