{"id":"W4386601539","doi":"10.3390/electronics12183830","title":"Improved Resnet Model Based on Positive Traffic Flow for IoT Anomalous Traffic Detection","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Residual; Block (permutation group theory); Internet of Things; Residual neural network; Convolution (computer science); Convolutional neural network; Data mining; Computer network; Artificial intelligence; Artificial neural network; Computer security; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000414611,0.0001943886,0.0001694146,0.000228487,0.0004135953,0.0001167744,0.0003706343,0.0001631417,0.000004457689],"category_scores_gemma":[0.00004301438,0.0002022939,0.0001450878,0.0008135265,0.00002138451,0.0001231587,0.00003758277,0.0003233547,0.00003012644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190037,"about_ca_system_score_gemma":0.0002232883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001119273,"about_ca_topic_score_gemma":0.0001659561,"domain_scores_codex":[0.9983133,0.00007180653,0.0002168759,0.000537144,0.0002293396,0.0006314976],"domain_scores_gemma":[0.9991837,0.0001619306,0.0000825081,0.0003975743,0.00009008548,0.0000841949],"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":[0.000147945,0.00005560081,5.22539e-8,0.000008031032,0.000009686124,0.000001598127,0.0001541264,0.6979654,0.002579041,0.0005398169,0.0004872373,0.2980514],"study_design_scores_gemma":[0.000667917,0.001765972,0.00001167223,0.00001245961,0.000009950559,0.000004726172,0.00000430528,0.9853969,0.009476922,0.001356144,0.001064372,0.0002286344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.292078,0.0002729043,0.7038938,0.0009303171,0.0006651606,0.0008195596,0.00001557426,0.001195898,0.0001287992],"genre_scores_gemma":[0.9919752,0.00008091403,0.006926071,0.0004298906,0.0001723674,0.0001086255,0.00002443257,0.00002985127,0.0002526728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6998972,"threshold_uncertainty_score":0.8249307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009183336911347185,"score_gpt":0.2245359221437565,"score_spread":0.2153525852324093,"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."}}