{"id":"W3159269377","doi":"","title":"M2ANET Performance Under Multiple Competing Data Flows","year":2018,"lang":"en","type":"article","venue":"International Conference on Systems and Networks Communications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science","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":[0.002890361,0.001022469,0.0008033258,0.0009094744,0.00147972,0.002188281,0.001048271,0.001569726,0.005024965],"category_scores_gemma":[0.008509834,0.0002490095,0.0002421631,0.000807097,0.0007156691,0.001832809,0.001395743,0.000801899,0.0007027056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300408,"about_ca_system_score_gemma":0.001587017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005821643,"about_ca_topic_score_gemma":0.004914363,"domain_scores_codex":[0.9979753,0.0004417982,0.000107577,0.0003193898,0.0004315602,0.0007244119],"domain_scores_gemma":[0.9945477,0.002820923,0.0002519873,0.0005128065,0.001358262,0.0005084031],"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":[0.02855437,0.002278831,0.02847707,0.0004351125,0.0003981736,0.001675481,0.000475709,0.6651897,0.08124711,0.01690879,0.02430491,0.1500548],"study_design_scores_gemma":[0.0002282634,0.001164339,0.003676671,0.00001740978,0.00005685704,0.0003743222,0.0002063567,0.9658143,0.02461912,0.002201046,0.001593637,0.00004778455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641667,0.0007016307,0.02090447,0.001023103,0.0003034207,0.00007222837,0.0004906033,0.001475817,0.01086212],"genre_scores_gemma":[0.9942978,0.00007315832,0.003039068,0.0001075902,0.00003679508,0.00001803722,0.0003223719,0.0000441073,0.002061098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005821643,"threshold_uncertainty_score":0.01681018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298735914415601,"score_gpt":0.3183666181773265,"score_spread":0.1884930267357665,"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."}}