{"id":"W2073152592","doi":"10.1016/j.yofte.2014.06.001","title":"Hybrid scheduling mechanisms for Next-generation Passive Optical Networks based on network coding","year":2014,"lang":"en","type":"article","venue":"Optical Fiber Technology","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Program for New Century Excellent Talents in University; Natural Science Foundation of Hebei Province; Department of Education of Hebei Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Optical line termination; Computer science; Quality of service; Scheduling (production processes); Passive optical network; Computer network; Efficient energy use; Coding (social sciences); Real-time computing; Engineering; Wavelength-division multiplexing; Electrical 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":[0.002035585,0.0005838739,0.0007185907,0.0008065988,0.001095533,0.001283373,0.001774949,0.0005802305,0.002093482],"category_scores_gemma":[0.003296072,0.0003001101,0.0003132005,0.0008082507,0.0007518739,0.001746796,0.001189359,0.0008829323,0.000236719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185308,"about_ca_system_score_gemma":0.002483918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003729968,"about_ca_topic_score_gemma":0.007322009,"domain_scores_codex":[0.9991424,0.0002536379,0.00004406478,0.0001046096,0.0002275787,0.0002276851],"domain_scores_gemma":[0.9967666,0.001602519,0.0002484978,0.0004453457,0.0007482788,0.0001888329],"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":[0.001262399,0.0004278428,0.0008699098,0.0002288571,0.0001256732,0.0001746215,0.000300288,0.5794875,0.04923787,0.2302114,0.00627058,0.1314031],"study_design_scores_gemma":[0.00003593956,0.00005815797,0.00009171399,0.00000754478,0.00001622053,0.00002128656,0.00002208409,0.9748224,0.002440022,0.02147882,0.0009882485,0.0000175248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238648,0.001048254,0.8657842,0.000533141,0.0004994993,0.0001715245,0.0001351481,0.0008189238,0.007144616],"genre_scores_gemma":[0.9313988,0.0002258405,0.06581464,0.0001296175,0.0001229555,0.00009548192,0.00005772253,0.00006577306,0.002089121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003729968,"threshold_uncertainty_score":0.01344508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110062499932769,"score_gpt":0.2404330166774972,"score_spread":0.2193323916781695,"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."}}