{"id":"W3161998620","doi":"10.22215/etd/2018-13338","title":"Network Application Design Challenges and Solutions in SDN","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Software-defined networking; Distributed computing; Network architecture; Network simulation; Consistency (knowledge bases); Network management station; Network performance; Computer network; Artificial intelligence","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":[0.0003902242,0.0001811522,0.0002007325,0.0001013689,0.0001201364,0.00007090806,0.0004032599,0.0002582832,0.00000722107],"category_scores_gemma":[0.00001780968,0.0001719839,0.00002784626,0.0002617947,0.00001952102,0.0001646824,0.00006889474,0.0001594352,0.00004337285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002660911,"about_ca_system_score_gemma":0.00006111967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000364109,"about_ca_topic_score_gemma":0.001008646,"domain_scores_codex":[0.9987483,0.00005892418,0.0002191609,0.0005089335,0.0001434456,0.000321237],"domain_scores_gemma":[0.9991888,0.0001588384,0.0001015951,0.0004249973,0.00006797335,0.00005779453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001914117,0.00005769423,0.00004928977,0.00005530635,0.00001850669,0.000002588576,0.001467832,0.0006839288,0.000006753005,0.2219863,0.01569161,0.7599611],"study_design_scores_gemma":[0.0009776151,0.000445544,0.07012624,0.0006307053,0.0000572929,0.00002021048,0.0004559145,0.3709297,0.00006686601,0.5144904,0.03998118,0.001818272],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000232551,0.02009815,0.9667011,0.0004324756,0.0005976414,0.0004604297,4.436166e-7,0.0002668993,0.01121027],"genre_scores_gemma":[0.2180604,0.03577244,0.7298883,0.001138348,0.003137696,0.001591587,0.0004403375,0.0001542417,0.009816566],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7581428,"threshold_uncertainty_score":0.7013301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04785464698105094,"score_gpt":0.2558054982478524,"score_spread":0.2079508512668014,"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."}}