{"id":"W2972308422","doi":"10.1145/3309682","title":"Improving Adaptive Video Streaming through Session Classification","year":2019,"lang":"en","type":"article","venue":"Journal of Data and Information Quality","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Session (web analytics); Popularity; Quality of experience; Throughput; Computer network; The Internet; Multimedia; Quality of service; Real-time computing; World Wide Web; Telecommunications; Wireless","routes":{"ca_aff":true,"ca_fund":false,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002006854,0.00007728937,0.000164848,0.00007380303,0.0000850941,0.0003079609,0.0006300884,0.0000454314,0.000009873158],"category_scores_gemma":[0.0001434837,0.00005986482,0.00002968975,0.0001390533,0.00001763391,0.0374161,0.0003422513,0.000169124,0.00002070334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004568599,"about_ca_system_score_gemma":0.0001406418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004773492,"about_ca_topic_score_gemma":0.000001162652,"domain_scores_codex":[0.9984581,0.0001473063,0.0007800504,0.0001062718,0.0004017543,0.0001065269],"domain_scores_gemma":[0.9978963,0.0001447346,0.001105173,0.0005382537,0.0002659622,0.00004957371],"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":[0.00007858734,0.00009341363,0.00285404,0.0002412591,0.00004913811,0.000001242311,0.007486521,0.00002453473,0.003455881,0.1440228,0.002169281,0.8395233],"study_design_scores_gemma":[0.004457525,0.00105497,0.2017867,0.0005081536,0.00006511891,0.0001570245,0.02614356,0.6553015,0.005001083,0.006468399,0.0981733,0.0008827541],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05270239,0.00004403864,0.9447902,0.00095433,0.0002417403,0.00009549213,0.00002406104,0.00001497827,0.001132703],"genre_scores_gemma":[0.9232413,0.00007693333,0.07573932,0.0008309663,0.00005741863,6.053308e-7,0.00003777342,0.000001843144,0.00001391392],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8705388,"threshold_uncertainty_score":0.976047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09982095728446964,"score_gpt":0.3748448468625624,"score_spread":0.2750238895780927,"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."}}