{"id":"W2944439235","doi":"10.3390/s19092175","title":"Brain Inspired Dynamic System for the Quality of Service Control over the Long-Haul Nonlinear Fiber-Optic Link","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Optical Network Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Coral Reef Conservation Program; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Bit error rate; Computer science; Optical fiber; Electronic engineering; Channel (broadcasting); Nonlinear system; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001361383,0.0002558727,0.0002274507,0.0001499432,0.0003241422,0.0004236709,0.0004969986,0.0003177625,0.001052686],"category_scores_gemma":[0.0002312805,0.00006924084,0.0002739138,0.0001366437,0.0002922102,0.0003269216,0.00033414,0.0003873454,0.0001053855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708798,"about_ca_system_score_gemma":0.0004058455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002293801,"about_ca_topic_score_gemma":0.0024467,"domain_scores_codex":[0.9999249,0.00001121104,0.000003789591,0.00001741411,0.00002800118,0.0000145996],"domain_scores_gemma":[0.9999404,0.00001518806,0.000009768255,0.000005410128,0.00002197204,0.000007323275],"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":[0.0003188448,0.0002690214,0.002150608,0.000283679,0.0001939446,0.0006471715,0.0004209059,0.4567188,0.3222208,0.05253713,0.002639343,0.1615997],"study_design_scores_gemma":[0.00001643321,0.0001771454,0.000611065,0.000007189257,0.00002544808,0.00007875306,0.00002059107,0.9830784,0.01077874,0.003139642,0.002048317,0.00001819931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2016436,0.001267248,0.7754658,0.0005104697,0.00025229,0.0001322833,0.00006917291,0.001087518,0.01957161],"genre_scores_gemma":[0.9755304,0.0001718697,0.02201185,0.00006208754,0.00001756625,0.0000468483,0.00001996121,0.000008938791,0.002130321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002293801,"threshold_uncertainty_score":0.004560947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009547608555438474,"score_gpt":0.2433783539378987,"score_spread":0.2338307453824602,"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."}}