{"id":"W2577295636","doi":"10.1109/ism.2016.0091","title":"Game-Aware Resource Manager for Home Gateways","year":2016,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quality of experience; Computer science; Latency (audio); Cloud computing; User experience design; Multimedia; Resource (disambiguation); Video game; Computer network; Quality of service; Human–computer interaction; Telecommunications; Operating system","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":[0.0003989894,0.0007703603,0.00050407,0.0004757584,0.0004685078,0.001129716,0.001710271,0.000352335,0.005413602],"category_scores_gemma":[0.0007386224,0.000329736,0.0002348365,0.0002760118,0.0002168391,0.00101762,0.001100061,0.0006027923,0.001011955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005129214,"about_ca_system_score_gemma":0.0007331067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00357234,"about_ca_topic_score_gemma":0.005547601,"domain_scores_codex":[0.9997476,0.00004665709,0.00002033736,0.00006919581,0.00005713429,0.00005909495],"domain_scores_gemma":[0.9997169,0.00005198267,0.00002070427,0.00006668179,0.00005548957,0.00008809589],"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":[0.002821883,0.002727392,0.01826729,0.000691912,0.0003174567,0.001976365,0.001604841,0.1226717,0.1636943,0.04233999,0.09258395,0.550303],"study_design_scores_gemma":[0.0001460001,0.0001899828,0.002969121,0.00002791059,0.0000751881,0.0002144698,0.0001820185,0.9475001,0.02157853,0.005169246,0.02189898,0.00004843742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2527686,0.001928082,0.6541623,0.0007317803,0.0004717127,0.00124124,0.0008392847,0.05779831,0.03005862],"genre_scores_gemma":[0.8508738,0.0003047331,0.1388011,0.0002743243,0.0000652985,0.0002470528,0.0005069564,0.0004339097,0.008492842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005413602,"threshold_uncertainty_score":0.01811028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687016146950018,"score_gpt":0.2846474147755884,"score_spread":0.2577772533060882,"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."}}