{"id":"W1563962738","doi":"10.1109/glocom.1988.26051","title":"Performance evaluation of real-time applications in telecommunications networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Software; Controller (irrigation); Process (computing); Telecommunications service; Telecommunications equipment; Network management; Software engineering; Telecommunications; Systems engineering; Computer network; Engineering; Operating system","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":[0.003078645,0.0007119998,0.0004540542,0.001291298,0.0003372104,0.001114508,0.0006356021,0.000628716,0.001530557],"category_scores_gemma":[0.01122638,0.0001908572,0.0002810055,0.00113596,0.0003926438,0.0009801778,0.0003700709,0.0003847875,0.0003266618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150599,"about_ca_system_score_gemma":0.0005832287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003332205,"about_ca_topic_score_gemma":0.001815576,"domain_scores_codex":[0.9965514,0.00166247,0.0001371954,0.0001917828,0.001241625,0.0002154245],"domain_scores_gemma":[0.9930397,0.003971327,0.0006097494,0.0006165914,0.001553297,0.0002093537],"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":[0.001282768,0.000377314,0.01588785,0.0002053639,0.0001107952,0.0001949612,0.0002561446,0.8361317,0.02487113,0.004819384,0.001766449,0.1140961],"study_design_scores_gemma":[0.00002194456,0.0005413615,0.003860236,0.00001552588,0.00003481895,0.00007040567,0.00006943168,0.972876,0.02043894,0.0009961558,0.00105697,0.00001821596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251087,0.001306519,0.06123184,0.0003080606,0.00006854855,0.00007190735,0.0001730126,0.001189784,0.01054164],"genre_scores_gemma":[0.9939564,0.0001853045,0.004944864,0.0000143979,0.000007850623,0.00001769003,0.0001174065,0.0000377238,0.0007183504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003332205,"threshold_uncertainty_score":0.0162816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003343434518055,"score_gpt":0.2784098276802309,"score_spread":0.2583763933350504,"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."}}