{"id":"W2150092229","doi":"10.1109/pacrim.2005.1517301","title":"Stochastic qos-based classification for link models with calculated service levels","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Traffic classification; Computer network; Multiprotocol Label Switching","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":[0.004531688,0.001132698,0.001913992,0.001028963,0.0007763617,0.002025603,0.001954755,0.001761427,0.001877941],"category_scores_gemma":[0.01285141,0.000883212,0.0009833402,0.001127871,0.001388085,0.002259195,0.001316941,0.002055715,0.0003378063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004359674,"about_ca_system_score_gemma":0.00246608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008232819,"about_ca_topic_score_gemma":0.006387731,"domain_scores_codex":[0.9979051,0.0008492706,0.00008566815,0.0003197635,0.0004961183,0.0003440867],"domain_scores_gemma":[0.9896457,0.008043966,0.0008864469,0.0003853081,0.0007971543,0.0002414243],"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":[0.00004599292,0.0000409956,0.0003872267,0.00002092515,0.000009539453,0.00001176047,0.00001718743,0.9846395,0.0002796944,0.006705849,0.000246432,0.007594828],"study_design_scores_gemma":[0.000002230182,0.0000031891,0.00002536045,0.000001243204,9.644893e-7,0.000001683264,0.000001727908,0.9981073,0.0000794291,0.001748454,0.00002688083,0.000001434192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02610481,0.0001023993,0.9722781,0.0002578232,0.00001623948,0.00004830548,0.00006781098,0.0002287713,0.0008958786],"genre_scores_gemma":[0.6428435,0.0002356531,0.3535106,0.0002042958,0.0001053709,0.0002958181,0.000590063,0.0001611513,0.002053536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008232819,"threshold_uncertainty_score":0.03163183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429346098691811,"score_gpt":0.2501859624632432,"score_spread":0.2072513525940621,"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."}}