{"id":"W2493718151","doi":"10.1109/iccw.2016.7503873","title":"eWV: An evolvable platform for versatile control in software-defined wireless networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Computer science; Virtualization; Wireless; Computer network; Software; Embedded system; Software-defined networking; Distributed computing; Computer architecture; Operating system; Cloud computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001303058,0.0004138547,0.0002647323,0.000344318,0.0003714841,0.0009766392,0.001420237,0.0004884297,0.001814891],"category_scores_gemma":[0.002164484,0.0002345436,0.0002680217,0.0001505625,0.0008253527,0.001238022,0.001768518,0.001186888,0.000355503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147154,"about_ca_system_score_gemma":0.0006580402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009611717,"about_ca_topic_score_gemma":0.0009302408,"domain_scores_codex":[0.9993784,0.0001804444,0.00002897899,0.00007878066,0.0002313879,0.0001019847],"domain_scores_gemma":[0.9992204,0.0002692011,0.00006961572,0.0002256931,0.00009936174,0.0001157895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008537204,0.0004994437,0.00416683,0.0002425582,0.0001186339,0.0009710735,0.001132999,0.3190276,0.1348081,0.2041142,0.01255208,0.3215127],"study_design_scores_gemma":[0.0001000183,0.0004883785,0.0007975438,0.00004079245,0.00002328422,0.0002537797,0.00009677546,0.8730189,0.03861577,0.0334117,0.05309804,0.00005502868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05128961,0.0001694113,0.9331706,0.0002037227,0.0001319563,0.000188877,0.00007931762,0.007429612,0.007336896],"genre_scores_gemma":[0.6593507,0.0002818158,0.3321524,0.0002691227,0.00004339548,0.0004288871,0.0004413478,0.0008018658,0.006230345],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001814891,"threshold_uncertainty_score":0.00689131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153385436029413,"score_gpt":0.2287906761651224,"score_spread":0.2134521325621811,"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."}}