{"id":"W3001623914","doi":"10.1109/tnet.2019.2963792","title":"Steganographic-Based Header Size Reduction Technique for Multimedia Streams","year":2020,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Network packet; Header; Overhead (engineering); Hypertext Transfer Protocol; Internet Protocol; Transmission Control Protocol; Multimedia; The Internet; Node (physics); Link Control Protocol; User Datagram Protocol; Quality of service; Operating system","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":[0.0002090796,0.0002268569,0.0002157879,0.0001270991,0.0003852989,0.0001422951,0.000623818,0.0001382894,0.00000843575],"category_scores_gemma":[0.00001831358,0.0002363356,0.0002781604,0.0007023196,0.00004677369,0.0002603515,0.000005741196,0.0003893611,0.000008459117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005241973,"about_ca_system_score_gemma":0.00006746451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003393858,"about_ca_topic_score_gemma":0.00001170995,"domain_scores_codex":[0.9984288,0.00008457335,0.0002893849,0.000569376,0.0002526448,0.0003752235],"domain_scores_gemma":[0.9986771,0.0004077014,0.0000950827,0.0005653539,0.00008317523,0.0001715582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003673992,0.0004230216,0.00006982871,0.000103272,0.0001741645,0.00001823002,0.001143367,0.2568757,0.07452679,0.0001312404,0.001621337,0.6645456],"study_design_scores_gemma":[0.001386065,0.0005807172,0.00002218028,0.0002099742,0.00006883544,0.00001962141,0.0001028999,0.9439646,0.04791402,0.0005084715,0.004656155,0.0005664824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002075163,0.0000852212,0.9908935,0.003942047,0.001698691,0.0006440743,0.00001036983,0.000605565,0.0000453161],"genre_scores_gemma":[0.9378401,0.00002450217,0.0602627,0.0009607229,0.000565651,0.0002672712,0.000004107005,0.00002896091,0.00004599664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9357649,"threshold_uncertainty_score":0.9637486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421937963244999,"score_gpt":0.2522794374903372,"score_spread":0.2100856411658373,"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."}}