{"id":"W2891242934","doi":"10.2316/journal.206.2018.5.206-0066","title":"FUDP: AN SDN-BASED MECHANISM FOR CONTROLLING UDP FLOWS","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Mechanism (biology); Computer science; Computer network; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001777367,0.00005991028,0.00009060132,0.0001077901,0.00004629423,0.00007153476,0.0001181261,0.00004206649,0.000008149153],"category_scores_gemma":[0.0000484628,0.00005272407,0.00004210243,0.00002843151,0.00001844952,0.0002087936,0.000004833811,0.0000581658,0.000001654389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002728604,"about_ca_system_score_gemma":0.00002158002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001432151,"about_ca_topic_score_gemma":0.00000959914,"domain_scores_codex":[0.9994546,0.000009443351,0.000228975,0.00004877153,0.0001855851,0.00007269078],"domain_scores_gemma":[0.9993349,0.00005537104,0.00008387004,0.0000366533,0.000443496,0.00004567436],"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":[0.00009265836,0.00006367882,0.0001205183,0.00003537454,0.0001285249,0.00000880658,0.0005122595,0.9239379,0.0297301,0.03155053,0.0001955892,0.01362402],"study_design_scores_gemma":[0.00072568,0.0001455607,0.0003193557,0.00005413028,0.00001505518,0.00002339542,0.00002954669,0.9868744,0.007126854,0.004288765,0.0003352454,0.00006198658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2804925,0.00005022141,0.7171122,0.0003805051,0.001825198,0.00005471343,0.000006010145,0.00002837222,0.00005024439],"genre_scores_gemma":[0.9723761,0.00002720785,0.02665493,0.0001043166,0.0008188416,0.000001264795,0.000004853957,0.000008002255,0.000004479661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6918836,"threshold_uncertainty_score":0.2150025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027605464469984,"score_gpt":0.2504266114998949,"score_spread":0.2401505568551951,"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."}}