{"id":"W2128001278","doi":"10.1109/glocom.2008.ecp.513","title":"On Sparse Placement of Regenerator Nodes in Translucent Optical Network","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Regenerative heat exchanger; Computer science; SIGNAL (programming language); Optical switch; Optical performance monitoring; Graph; Computer network; Set (abstract data type); Wavelength-division multiplexing; Electronic engineering; Optics; Engineering; Theoretical computer science; 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":[0.00004803696,0.000120935,0.0001905525,0.00004603693,0.00001616994,0.00000187749,0.0001069014,0.0000894124,0.00005163616],"category_scores_gemma":[0.0000201107,0.0001059237,0.0000323944,0.0002118799,0.00007907188,0.00003340868,0.00001785571,0.0001627565,0.00001661628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254413,"about_ca_system_score_gemma":0.000005360604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.300824e-7,"about_ca_topic_score_gemma":0.00001182666,"domain_scores_codex":[0.9992201,0.000005950594,0.0002343552,0.0001272958,0.0001229252,0.0002894256],"domain_scores_gemma":[0.999659,0.00008597632,0.000009325449,0.0001958358,0.000009716421,0.0000401495],"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":[0.0000258976,0.00004216723,0.0003688101,0.00001085375,0.000008899066,0.00001971471,0.00001634887,0.9585861,0.0006761041,0.03726815,0.001056715,0.001920244],"study_design_scores_gemma":[0.004010192,0.0008875956,0.00873805,0.0004320735,0.00002965037,0.00003455608,0.0002075024,0.8039906,0.1611899,0.01316208,0.005756326,0.001561446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.878807,0.0004897824,0.1109822,0.00009676207,0.0001520525,0.0001900606,0.000001511165,0.000513969,0.008766705],"genre_scores_gemma":[0.8696653,0.0002993934,0.1298967,0.00003182131,0.00003180035,0.00001542069,0.000001302307,0.00001738068,0.00004091199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1605138,"threshold_uncertainty_score":0.4319444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628723724967789,"score_gpt":0.2113555068572616,"score_spread":0.1950682696075837,"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."}}