{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125384,0.0008559003,0.0006294001,0.001085521,0.000532696,0.001327608,0.002316375,0.0007561629,0.04755002],"category_scores_gemma":[0.003958128,0.0004723208,0.0004942933,0.0008243627,0.0004191124,0.00182238,0.001360771,0.001338705,0.01576115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007347745,"about_ca_system_score_gemma":0.001227095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002524938,"about_ca_topic_score_gemma":0.003544113,"domain_scores_codex":[0.9989187,0.00007688546,0.00006219152,0.0002143878,0.0006301184,0.00009779276],"domain_scores_gemma":[0.9981938,0.0004421339,0.0001166797,0.0004152985,0.000704218,0.0001278512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009248479,0.0002190357,0.003019436,0.0009155466,0.00006457129,0.000315281,0.0004833738,0.02726578,0.05247371,0.03984677,0.2693324,0.6051392],"study_design_scores_gemma":[0.0003704762,0.0004211955,0.002726267,0.0001158925,0.00007290735,0.0005651971,0.0001224757,0.226853,0.06221632,0.01749117,0.6889052,0.0001400777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02830377,0.0008386807,0.5891863,0.0006585857,0.0009081183,0.00124774,0.01158933,0.2077921,0.1594754],"genre_scores_gemma":[0.2478343,0.001289794,0.5420981,0.001102974,0.0002017599,0.001929989,0.03243113,0.02557442,0.1475375],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04755002,"threshold_uncertainty_score":0,"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."}}