{"id":"W2022402912","doi":"10.1023/b:clus.0000028003.65775.8d","title":"Combined Ring–Mesh Optical Transport Networks","year":2004,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Optical mesh network; Multiplexer; Synchronous optical networking; Mesh networking; Ring network; Computer network; Network architecture; Network planning and design; Optical Transport Network; Wavelength-division multiplexing; Ring (chemistry); Traffic grooming; Wireless mesh network; Telecommunications; Network topology; Multiplexing; Passive optical network; Optics; Wavelength; 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":[0.0000984056,0.0002250601,0.000261139,0.00005662518,0.00009379644,0.00002529824,0.000280041,0.0001798417,0.000006011084],"category_scores_gemma":[0.00002181844,0.0002321904,0.00007843887,0.0002652356,0.0001088639,0.0000973303,0.00009961009,0.0004999023,0.00003136357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072296,"about_ca_system_score_gemma":0.000006904918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.077112e-7,"about_ca_topic_score_gemma":0.000002597387,"domain_scores_codex":[0.9987338,0.000005694787,0.0003200231,0.0002452269,0.0001273853,0.0005679204],"domain_scores_gemma":[0.9994705,0.00009487697,0.0000229318,0.0002912457,0.0000245393,0.00009594528],"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":[0.000006837589,0.0000164244,0.0003877524,0.00002255144,0.00001995604,0.00002925806,0.0000523813,0.9803523,0.0000467621,0.007197147,0.00004286717,0.01182579],"study_design_scores_gemma":[0.001066747,0.00006323172,0.002428905,0.0001296298,0.000016847,0.00001953634,0.00004246347,0.9923357,0.0003043729,0.002948716,0.0002658613,0.0003779544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2544211,0.0001356063,0.7389513,0.0001325909,0.0004403243,0.0001423587,3.766646e-7,0.002189924,0.00358636],"genre_scores_gemma":[0.88438,0.00001583897,0.1152281,0.0001157669,0.0001870696,0.000003924255,0.00000552277,0.00005098753,0.00001278844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6299589,"threshold_uncertainty_score":0.946845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007360152963897589,"score_gpt":0.2074705969096531,"score_spread":0.2001104439457555,"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."}}