{"id":"W2137821592","doi":"10.1109/hoti.2012.16","title":"Caliper: Precise and Responsive Traffic Generator","year":2012,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Calipers; Generator (circuit theory); Computer science; Computer graphics (images); Engineering; Physics; Mechanical engineering; Power (physics)","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":[0.001125501,0.0008410023,0.000545438,0.001018019,0.0003269388,0.0009713281,0.003139247,0.0008600918,0.004511377],"category_scores_gemma":[0.004178177,0.0004508183,0.0003619195,0.0005582987,0.000559359,0.001405945,0.001201768,0.00133777,0.001234691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889189,"about_ca_system_score_gemma":0.0007792328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022532,"about_ca_topic_score_gemma":0.0007328451,"domain_scores_codex":[0.9988674,0.0001428684,0.00006019549,0.0001522292,0.0006670508,0.0001102402],"domain_scores_gemma":[0.9984313,0.0005839505,0.0001541208,0.0003874898,0.0003365427,0.0001065951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00117513,0.000548987,0.005868676,0.0006273115,0.000100508,0.0009955643,0.0007202066,0.3161979,0.192778,0.04537758,0.04763439,0.3879757],"study_design_scores_gemma":[0.0001255526,0.0003401998,0.0008664669,0.00003433895,0.00002531447,0.000411191,0.00003907035,0.868245,0.09151974,0.005357134,0.03294899,0.00008699107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05912544,0.0002967004,0.8536502,0.0002077182,0.0002915745,0.0005325969,0.001035538,0.07139312,0.01346712],"genre_scores_gemma":[0.6692079,0.0003600262,0.3126892,0.0004003352,0.00009257138,0.0007388495,0.002582059,0.004373693,0.009555283],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.004511377,"threshold_uncertainty_score":0.01509207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016318296056663,"score_gpt":0.2157338263721544,"score_spread":0.2055706434115878,"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."}}