{"id":"W2026017611","doi":"10.1109/ficloud.2014.62","title":"Stationary Transformation of Video Traffic in LTE Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications; Mobile broadband; Broadband; Mobile telephony; Computer network; Broadband networks; Videoconferencing; Service (business); Service provider; Telecommunications network; Mobile radio; Business; Wireless","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":[0.0002393279,0.0004187298,0.0002001741,0.0005017978,0.0004087045,0.000574338,0.0003422171,0.0003435558,0.0006473458],"category_scores_gemma":[0.001293021,0.0001302083,0.0003083404,0.0006048171,0.000412447,0.00036497,0.0002101761,0.0002783954,0.0001550943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008855074,"about_ca_system_score_gemma":0.0005326767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325187,"about_ca_topic_score_gemma":0.00658428,"domain_scores_codex":[0.9997059,0.00005924015,0.000009240014,0.0000333622,0.0001291486,0.00006298069],"domain_scores_gemma":[0.999767,0.0001032089,0.00003444272,0.00001086218,0.00007203035,0.00001248613],"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":[0.0003743065,0.00008310307,0.00505368,0.00009250046,0.00003455395,0.0007686247,0.0002626843,0.8032397,0.06117093,0.05654602,0.001504108,0.07086983],"study_design_scores_gemma":[0.000003014122,0.00002877904,0.001507996,0.000003924795,0.00000613065,0.00007967745,0.00004967866,0.991465,0.003333031,0.002986497,0.0005284077,0.000007727992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2578116,0.0005040496,0.7256187,0.0001891778,0.00006935022,0.00005931358,0.0001593566,0.0002855849,0.01530294],"genre_scores_gemma":[0.9771755,0.0004433183,0.01879341,0.00004495098,0.00003501634,0.00002683752,0.0001637877,0.00002847726,0.003288739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01325187,"threshold_uncertainty_score":0.02634948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00428129857812357,"score_gpt":0.1926201591408901,"score_spread":0.1883388605627666,"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."}}