{"id":"W4250013586","doi":"10.1145/1851275.1851255","title":"Caliper","year":2010,"lang":"en","type":"article","venue":"ACM SIGCOMM Computer Communication Review","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Calipers; Computer science; Software; x86; Network packet; Field-programmable gate array; Operating system; 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":[0.001257256,0.0008933958,0.0006346672,0.001138334,0.0005664066,0.001459425,0.002431487,0.0007975542,0.05114663],"category_scores_gemma":[0.004320863,0.000505015,0.0005222801,0.0008557347,0.0004400981,0.002025708,0.001500966,0.001467459,0.01815694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007785822,"about_ca_system_score_gemma":0.001336542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616331,"about_ca_topic_score_gemma":0.003713486,"domain_scores_codex":[0.9988276,0.00009023869,0.00006655154,0.0002318665,0.0006759723,0.0001077829],"domain_scores_gemma":[0.9980214,0.0004941517,0.0001220938,0.0004692281,0.0007498955,0.0001432709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009446596,0.0002390017,0.002962445,0.000885876,0.00006514935,0.0003236331,0.0004851964,0.02548967,0.04460499,0.04155437,0.296138,0.586307],"study_design_scores_gemma":[0.0003905028,0.0004236287,0.002573085,0.0001258761,0.00007035173,0.000545687,0.0001337141,0.2062036,0.05586227,0.0201173,0.7134148,0.0001392729],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02673447,0.0009267029,0.5566652,0.0008161004,0.001028936,0.0012662,0.01266068,0.2242499,0.1756519],"genre_scores_gemma":[0.2359276,0.001455948,0.5358298,0.001311065,0.0002229947,0.002003881,0.03445521,0.02895186,0.1598415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05114663,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881606835102667,"score_gpt":0.2758573858022811,"score_spread":0.2570413174512545,"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."}}