{"id":"W2150160673","doi":"10.1109/cnsr.2011.17","title":"VisVerND: Visual Verification of Network Traffic Dataset","year":2011,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Completeness (order theory); Data mining; Visualization; Protocol (science); Process (computing); Quality (philosophy); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005655222,0.0008187193,0.0006454481,0.005068294,0.0008130985,0.002335037,0.001520251,0.0007900511,0.002322874],"category_scores_gemma":[0.02101442,0.0003069428,0.0006313192,0.001808409,0.0007905143,0.002444475,0.00202881,0.001156598,0.0009924496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009825414,"about_ca_system_score_gemma":0.001783471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787976,"about_ca_topic_score_gemma":0.003549009,"domain_scores_codex":[0.995297,0.0008645331,0.0006343236,0.0006525047,0.00228714,0.0002644801],"domain_scores_gemma":[0.9765136,0.004544116,0.00226768,0.007685435,0.008555564,0.0004337535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001907317,0.0009886234,0.07933271,0.002148361,0.0005551369,0.00158829,0.002491685,0.09656313,0.1560333,0.03683595,0.05956423,0.5619912],"study_design_scores_gemma":[0.0001788011,0.0005261876,0.04378568,0.0003587196,0.00008858719,0.001254833,0.001204166,0.6642891,0.2033838,0.01762196,0.06706778,0.000240544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2052848,0.0002915583,0.7121561,0.0005886019,0.0003451544,0.001416907,0.02779138,0.04219707,0.009928424],"genre_scores_gemma":[0.6046031,0.0002331342,0.3457045,0.0002000606,0.0000554332,0.001093195,0.04400784,0.001861373,0.002241393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005655222,"threshold_uncertainty_score":0.02990806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02634981677512616,"score_gpt":0.275934293230243,"score_spread":0.2495844764551168,"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."}}