{"id":"W2141715885","doi":"10.1145/1851182.1851255","title":"Caliper","year":2010,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Calipers; Computer science; x86; Software; Field-programmable gate array; Network packet; Operating system; Computer network; Engineering","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":[0.00006481269,0.00003782829,0.00003673728,0.00001560203,0.00003604666,0.00006137401,0.00034768,0.00003169451,0.0002135627],"category_scores_gemma":[0.00001305514,0.00002751203,0.00002045173,0.0001075787,0.00001155059,0.0001190822,0.00008604523,0.00009266437,0.0002938742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001413781,"about_ca_system_score_gemma":0.00001183059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002981942,"about_ca_topic_score_gemma":0.00003897487,"domain_scores_codex":[0.9996389,0.000003871922,0.00004787987,0.0001220547,0.00007189145,0.0001153678],"domain_scores_gemma":[0.9995742,0.00003600431,0.000008190134,0.0003146757,0.00001727055,0.00004968316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.867856e-7,0.00002443677,0.004665802,9.029612e-7,0.000003075965,0.000006760651,0.00009079589,0.00001074174,0.0009926582,0.8171143,0.05615834,0.1209317],"study_design_scores_gemma":[0.0004032639,0.00005693954,0.02992614,0.000003617007,0.000002752262,0.00006207341,0.000006834064,0.080348,0.00353068,0.04083734,0.844403,0.0004193595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03306269,0.00001888779,0.9073675,0.001882955,0.001418251,0.00003798791,1.60457e-7,0.0004863391,0.05572527],"genre_scores_gemma":[0.8786642,0.000001537283,0.1169481,0.001739678,0.0001620399,0.000003063066,2.633183e-7,0.000003243822,0.00247786],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8456016,"threshold_uncertainty_score":0.3777256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004638391542388875,"score_gpt":0.2028553775623262,"score_spread":0.1982169860199373,"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."}}