{"id":"W2975813900","doi":"10.3390/fi11100206","title":"Adaptive Coherent Receiver Settings for Optimum Channel Spacing in Gridless Optical Networks","year":2019,"lang":"en","type":"article","venue":"Future Internet","topic":"Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); University of Ottawa","funders":"","keywords":"Computer science; Jitter; Clock recovery; Channel (broadcasting); Electronic engineering; Channel spacing; Decoupling (probability); Wavelength-division multiplexing; Computer network; Telecommunications; Wavelength; Clock signal; Optics; Physics","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":[0.0001463112,0.0002623447,0.0003419829,0.00009581897,0.00001267768,0.00004493305,0.0003139891,0.0003653739,0.00008945136],"category_scores_gemma":[0.00002527114,0.0002425018,0.00009054272,0.000168004,0.00004314776,0.0001227722,0.0001182888,0.0005911083,0.00009618336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561407,"about_ca_system_score_gemma":0.000005753403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000559606,"about_ca_topic_score_gemma":0.00003292561,"domain_scores_codex":[0.9987092,0.00001237458,0.0002793022,0.000324947,0.0001191648,0.0005550216],"domain_scores_gemma":[0.9994486,0.0001504091,0.00003451579,0.000258562,0.00004081548,0.00006712513],"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":[0.0004001541,0.0001124658,0.001500947,0.0003226202,0.0002728405,0.00005188004,0.001147749,0.8470677,0.0003247797,0.03197509,0.08871905,0.02810479],"study_design_scores_gemma":[0.0006612514,0.0002073023,0.000723069,0.0003116423,0.00001433067,0.000008176709,0.0006632869,0.9856596,0.0006363874,0.0004565748,0.01026604,0.000392345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732493,0.00157792,0.09871479,0.001369714,0.0084582,0.002276564,0.00003229565,0.00198845,0.01233277],"genre_scores_gemma":[0.9854274,0.00005494451,0.0130851,0.00009888163,0.0008034792,0.00009941795,0.00002127899,0.00006698372,0.0003424787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385919,"threshold_uncertainty_score":0.9888935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006290174143491523,"score_gpt":0.1958533084813475,"score_spread":0.1895631343378559,"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."}}