{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001196806,0.0003465545,0.0005713928,0.0000374052,0.0001078124,0.0001139091,0.0002016323,0.0002522715,0.0001355975],"category_scores_gemma":[0.0000242929,0.0003495486,0.00006002938,0.00007804938,0.0000137358,0.0001841656,0.0001855941,0.0001102502,0.00002975826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009961391,"about_ca_system_score_gemma":0.00002882053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002248978,"about_ca_topic_score_gemma":0.00009641988,"domain_scores_codex":[0.9979178,0.00003925677,0.0007398743,0.0004959911,0.000200477,0.0006065443],"domain_scores_gemma":[0.9988948,0.0001442563,0.0001410746,0.0004814231,0.0001506169,0.0001878607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002174117,0.0002546052,0.00000606901,0.003399025,0.0001741258,7.685956e-7,0.001514607,0.009446169,0.9040519,0.06657958,0.001037723,0.01331802],"study_design_scores_gemma":[0.002139573,0.00004575619,0.0001765032,0.00004153734,0.0001317978,0.0000021698,0.0005291695,0.6516015,0.2003509,0.1438141,0.000290733,0.0008761579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8542032,0.0001467192,0.1412534,0.00004106479,0.0009317523,0.002660363,0.0003062997,0.000347138,0.0001101197],"genre_scores_gemma":[0.9793417,0.0001096026,0.01832139,0.0002985361,0.000222957,0.001480811,0.0001420752,0.00007053768,0.00001239247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.703701,"threshold_uncertainty_score":0.9998956,"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."}}