{"id":"W1898223468","doi":"10.1109/icc.2003.1204620","title":"Banding in optical add-drop multiplexers in WDM networks: preserving agility while minimizing cost","year":2004,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiplexer; Optical add-drop multiplexer; Drop (telecommunication); Wavelength-division multiplexing; Wavelength; Computer science; Multiplexing; Optical switch; Computer network; Optical performance monitoring; Electronic engineering; Optoelectronics; Physics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003219244,0.0002415615,0.0003356497,0.00020656,0.0000369355,0.00006160406,0.0003590478,0.0002933658,0.00008030108],"category_scores_gemma":[0.0002325276,0.0002457219,0.00005480036,0.0007522014,0.00009493248,0.0003041134,0.0002287891,0.0006741065,0.00002195481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639202,"about_ca_system_score_gemma":0.00001328196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001251366,"about_ca_topic_score_gemma":0.001580759,"domain_scores_codex":[0.9982224,0.00002016443,0.000463382,0.0003406001,0.0001600124,0.0007935183],"domain_scores_gemma":[0.9992201,0.0002807988,0.00001840847,0.0003660872,0.00001725755,0.0000973661],"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":[0.00001362195,0.00004663156,0.01484114,0.00003765053,0.000009016529,0.00004300761,0.00008786174,0.9768253,0.0002528185,0.002199641,0.0001797648,0.005463538],"study_design_scores_gemma":[0.001092503,0.00002433166,0.02323795,0.0002748697,0.000004929223,0.00000393253,0.0004907818,0.9726412,0.0008626108,0.0006952088,0.000302669,0.0003690571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388084,0.000479664,0.03704995,0.000375469,0.0002949525,0.0006883901,0.000002218957,0.001728858,0.0205721],"genre_scores_gemma":[0.9489611,0.0001013415,0.05073388,0.00003104633,0.00005284572,0.0000579327,0.000005093337,0.00004008125,0.00001665507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02055545,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722867048896732,"score_gpt":0.2208445497821569,"score_spread":0.2036158792931896,"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."}}