{"id":"W2055992936","doi":"10.4028/www.scientific.net/amm.284-287.3482","title":"Video Quality Adjustment Model Supporting Mobility for Seamless Multimedia Service Delivery","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Handover; Computer science; Multimedia; Context (archaeology); Quality of service; Session (web analytics); Host (biology); Mobility model; Quality of experience; Service (business); Video streaming; Computer network; Service delivery framework; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006805352,0.000649897,0.000373626,0.00065176,0.0003135575,0.0007190231,0.001315863,0.0007022463,0.001656043],"category_scores_gemma":[0.001754387,0.0001869488,0.0006600067,0.0004326502,0.0003566272,0.0009761429,0.0004638925,0.0005615574,0.000480493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084097,"about_ca_system_score_gemma":0.0005389056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810237,"about_ca_topic_score_gemma":0.003252649,"domain_scores_codex":[0.9993569,0.0001150023,0.0000295411,0.000139273,0.0002873645,0.00007191839],"domain_scores_gemma":[0.9995136,0.0001077174,0.00009469549,0.00003045606,0.0002353661,0.00001811874],"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":[0.0001630061,0.0001335028,0.002896792,0.0001814596,0.00005637692,0.0003295966,0.0003151354,0.8750705,0.02863854,0.02781586,0.001847134,0.06255216],"study_design_scores_gemma":[0.000005979767,0.0000590188,0.0006145725,0.00000817027,0.00001652144,0.00005663152,0.00001950262,0.9957815,0.001120984,0.001446374,0.0008607236,0.00001001719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03989899,0.0006204526,0.948741,0.0002382881,0.00007954621,0.0001773678,0.0001346319,0.0003852259,0.009724629],"genre_scores_gemma":[0.9580955,0.000746217,0.03478122,0.00005144253,0.00004101513,0.0002329685,0.0001927209,0.00004343939,0.005815499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005810237,"threshold_uncertainty_score":0.01155281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172890122805425,"score_gpt":0.2416811072373839,"score_spread":0.2243920949568414,"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."}}