{"id":"W2145093570","doi":"10.1109/ares.2008.158","title":"A Preliminary Investigation of Skype Traffic Classification Using a Minimalist Feature Set","year":2008,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; AdaBoost; Feature (linguistics); Set (abstract data type); False positive rate; Data set; Artificial intelligence; Data mining; Support vector machine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001909453,0.0001131572,0.000171937,0.0001300402,0.0001063936,0.00003464082,0.0003804417,0.00008624796,0.00001187034],"category_scores_gemma":[0.00002588971,0.00009782845,0.00009796784,0.0004692102,0.00008521671,0.0003147796,0.00005797012,0.0001078262,0.000007738022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003464128,"about_ca_system_score_gemma":0.00008927423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001290485,"about_ca_topic_score_gemma":0.00001273281,"domain_scores_codex":[0.9989422,0.00007157651,0.0002777984,0.0002950403,0.000260349,0.0001530598],"domain_scores_gemma":[0.9993562,0.00004736641,0.0001879589,0.0002071767,0.0001427752,0.00005852939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001839452,0.0006053774,0.009354552,0.00035921,0.0004772068,0.000179059,0.1006121,0.1512165,0.04591765,0.6252317,0.04598102,0.01988169],"study_design_scores_gemma":[0.0001152204,0.00008334186,0.005881324,0.00002725336,0.00001515655,0.00006585861,0.0001696738,0.9925324,0.0008908984,0.000006591387,0.0001012621,0.000111021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127545,0.00005990481,0.186316,0.0003728241,0.00007021392,0.00007479457,0.000001006867,0.00007715616,0.0002735952],"genre_scores_gemma":[0.9566486,0.000004196771,0.04285058,0.0001192516,0.00004582721,0.000002439332,0.0000118023,0.000006090692,0.0003111995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8413159,"threshold_uncertainty_score":0.3989328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05434647153097352,"score_gpt":0.2631555639521799,"score_spread":0.2088090924212063,"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."}}