{"id":"W3189051006","doi":"10.1364/ofc.2021.th4b.3","title":"Arbitrary Dispersion Compensation of Periodic Waveforms using On-chip Discrete Phase Filters","year":2021,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Dispersion (optics); Waveform; Compensation (psychology); Optics; Materials science; Fiber Bragg grating; Phase compensation; Phase (matter); Modal dispersion; Chip; Filter (signal processing); Picosecond; Optical filter; Pulse (music); Electronic engineering; Optical fiber; Optoelectronics; Dispersion-shifted fiber; Physics; Computer science; Engineering; Phase noise; Telecommunications; Fiber optic sensor; Electrical engineering; Radar","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003465073,0.000106522,0.0001501566,0.00005594325,0.00003474958,0.00001856043,0.00007812948,0.00007288156,0.0001920193],"category_scores_gemma":[0.0000237197,0.00008589828,0.0000598117,0.0001841546,0.00006358817,0.000106725,0.00004129972,0.000136704,0.00001230608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004734616,"about_ca_system_score_gemma":0.000009225043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004433961,"about_ca_topic_score_gemma":0.000002785392,"domain_scores_codex":[0.9994166,0.000007389596,0.000170636,0.0001201823,0.0001208016,0.0001643156],"domain_scores_gemma":[0.9996725,0.00003916382,0.00001681413,0.0002187177,0.0000179756,0.00003483991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001573832,0.0004766392,0.002648957,0.0006807778,0.000317349,0.0001855553,0.0009405356,0.2843539,0.5299498,0.09570538,0.001198485,0.0833852],"study_design_scores_gemma":[0.0005428999,0.00009522384,0.0004788265,0.0001054409,0.00001743619,0.000009232019,0.0005246123,0.8554667,0.1415377,0.0008778133,0.0001521088,0.0001920231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840279,0.00008549363,0.009165023,0.0001040664,0.0001398354,0.00006875449,0.000007827839,0.0003337541,0.006067399],"genre_scores_gemma":[0.9770358,0.00003724631,0.02279752,0.00003825769,0.00002264833,0.000001487983,0.00002419041,0.00001698749,0.00002584336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711128,"threshold_uncertainty_score":0.350283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024139154012518,"score_gpt":0.2524734737926931,"score_spread":0.232232082252568,"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."}}