{"id":"W2097366659","doi":"10.1109/icc.2007.351","title":"Wavelength Assignment in Multifiber WDM Star and Spider Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Maximization; Wavelength-division multiplexing; Minification; Approximation algorithm; Time complexity; Spider; Computer science; Path (computing); Optimization problem; Mathematics; Combinatorics; Wavelength; Algorithm; Mathematical optimization; Physics; Optics; Computer network","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":[0.0005137299,0.0003725611,0.0004967521,0.0004380873,0.0005349737,0.0005910235,0.0007093959,0.0005413794,0.001406349],"category_scores_gemma":[0.00143206,0.0002393443,0.0002622148,0.0008746922,0.0004477696,0.001403343,0.0009667188,0.0005046449,0.0001748647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131,"about_ca_system_score_gemma":0.0004298634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153329,"about_ca_topic_score_gemma":0.001462531,"domain_scores_codex":[0.9996802,0.0001005034,0.00001219323,0.00007174952,0.00007485929,0.00006064996],"domain_scores_gemma":[0.9994373,0.0003088169,0.00008221003,0.00003936923,0.00005813847,0.00007412792],"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":[0.0003072242,0.0002297019,0.00270708,0.0002214263,0.00003961528,0.0002575924,0.0002699927,0.810356,0.01163139,0.08092913,0.002829703,0.09022108],"study_design_scores_gemma":[0.0000165234,0.00005344859,0.0004837779,0.000005081649,0.000006397127,0.00006976703,0.00005863555,0.952639,0.001847305,0.04291303,0.001900867,0.000006161087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5125047,0.0007339655,0.4779707,0.0005964775,0.0000490918,0.00009251822,0.0002629955,0.0002837089,0.007505754],"genre_scores_gemma":[0.8612604,0.0004497162,0.133651,0.00008855785,0.00004098247,0.00007277785,0.0002195309,0.00004877163,0.004168325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406349,"threshold_uncertainty_score":0.005899429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008550913303311461,"score_gpt":0.220052666633128,"score_spread":0.2115017533298166,"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."}}