{"id":"W3202621733","doi":"10.18280/ria.350410","title":"Identification of Network Traffic over IOT Platforms","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Traffic classification; Internet of Things; Computer network; Throughput; AdaBoost; Identification (biology); Traffic generation model; Internet traffic; Quality of service; Traffic congestion; Floating car data; The Internet; Artificial intelligence; Computer security; Wireless; Support vector machine; Telecommunications; World Wide Web; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006224012,0.0001515084,0.0002791445,0.00008018596,0.0001278785,0.0001273413,0.0007171467,0.0000882791,0.0002161519],"category_scores_gemma":[0.0001004832,0.0001460457,0.0002294787,0.0009915859,0.00005946729,0.0001998758,0.0001606647,0.0001733846,0.0002052019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000344856,"about_ca_system_score_gemma":0.00006645568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002838576,"about_ca_topic_score_gemma":0.00002881143,"domain_scores_codex":[0.9980001,0.00004004216,0.0008450131,0.0004980307,0.0002709938,0.0003458177],"domain_scores_gemma":[0.9987025,0.0001404387,0.0002903838,0.000545131,0.0002475799,0.00007401151],"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":[0.000002792516,0.00009372908,0.00004210095,0.00002655229,0.00003125181,0.00001637352,0.001216813,0.7032848,0.001523109,0.268633,0.0004628494,0.02466661],"study_design_scores_gemma":[0.0000235693,0.00002784786,0.00005622047,0.00006363597,0.00001441296,0.00002061238,0.0002637712,0.9604969,0.03741822,0.0004209358,0.001035076,0.0001587731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2528961,0.0004442275,0.7454174,0.0001375605,0.0004857764,0.00007104877,0.000001311221,0.00006796989,0.0004785522],"genre_scores_gemma":[0.9952139,0.00004257676,0.002818313,0.00008986096,0.000147399,0.000005757574,0.00000669253,0.00001093354,0.001664561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7425991,"threshold_uncertainty_score":0.5955572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391140392375735,"score_gpt":0.2584084830698093,"score_spread":0.2344970791460519,"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."}}