{"id":"W1968257919","doi":"10.1109/icns.2006.53","title":"Global Traffic Grooming based on Cooperation: An Implementation over NS","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Traffic grooming; Exploit; Computer science; Computer network; Computer security","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":[0.00002707553,0.00009306485,0.00006568893,0.00002564729,0.00004108198,0.00002950282,0.00006149495,0.00005126733,0.0002199205],"category_scores_gemma":[0.000003664005,0.00008840708,0.00001672798,0.0001791853,0.00001566092,0.0001524477,0.000006083442,0.00004679601,0.00001246505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088496,"about_ca_system_score_gemma":0.0000045479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004164,"about_ca_topic_score_gemma":0.000509905,"domain_scores_codex":[0.9995049,0.000005124494,0.0001236656,0.0001153754,0.00008347622,0.0001674667],"domain_scores_gemma":[0.9998083,0.00001834983,0.000007713537,0.0001327965,0.00001220246,0.00002067296],"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":[0.000002859063,0.00001332732,0.0003084912,0.000002649892,0.000001712477,0.000002374558,0.000001527367,0.9612222,0.00016721,0.01661287,0.001098885,0.02056593],"study_design_scores_gemma":[0.0003639417,0.00006975982,0.003866194,0.000003844693,0.000004071833,8.993453e-7,0.00004644208,0.9930751,0.0006548889,0.0005185285,0.001252281,0.0001440656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6773251,0.00002074884,0.3122255,0.0001267102,0.0001235067,0.0001622616,0.000009055099,0.002062345,0.007944791],"genre_scores_gemma":[0.9594361,0.000001422705,0.04030805,0.00009874311,0.00006879464,0.00001284857,0.00004626615,0.00001153639,0.00001620615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.282111,"threshold_uncertainty_score":0.3605136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006866854405966873,"score_gpt":0.256678766018033,"score_spread":0.2498119116120661,"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."}}