{"id":"W2968000510","doi":"10.1109/tmm.2019.2935683","title":"An SDN-Based Caching Decision Policy for Video Caching in Information-Centric Networking","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Multimedia","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cache; Software-defined networking; Information-centric networking; Computer network; Leverage (statistics); Network packet; The Internet; Latency (audio); Integer programming; Distributed computing; Algorithm; Telecommunications; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078156,0.0006518069,0.0007802823,0.0003540264,0.0005964885,0.0009694324,0.001230683,0.00068947,0.001010789],"category_scores_gemma":[0.002737486,0.000278737,0.00033557,0.000487028,0.000520492,0.001007113,0.0005939847,0.00077883,0.0001077948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661264,"about_ca_system_score_gemma":0.002273652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008910979,"about_ca_topic_score_gemma":0.01049411,"domain_scores_codex":[0.9993283,0.0001566245,0.00005174675,0.000165117,0.0001770594,0.000121306],"domain_scores_gemma":[0.9987622,0.0005471804,0.0001363417,0.00004610262,0.0004089794,0.00009912732],"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":[0.0002342783,0.0001331748,0.001557089,0.0001576429,0.000045443,0.0001715713,0.00009939172,0.9133616,0.00735225,0.0146638,0.002599488,0.05962418],"study_design_scores_gemma":[0.00000966296,0.00002594073,0.00006355362,0.000006109197,0.000008884184,0.00001706873,0.00001005247,0.9974353,0.0007632303,0.001367912,0.0002870462,0.00000527554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06125747,0.001094154,0.9317984,0.0004572899,0.0002083946,0.0001217821,0.00008555441,0.0003363169,0.004640722],"genre_scores_gemma":[0.9553122,0.0003866402,0.04297012,0.0001503708,0.00004594254,0.00005791111,0.0000786565,0.0000190307,0.0009791929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008910979,"threshold_uncertainty_score":0.01771826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105339275436146,"score_gpt":0.2563936685861719,"score_spread":0.2453402758318105,"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."}}