{"id":"W3092888325","doi":"10.1145/3394171.3413918","title":"Leveraging QoE Heterogenity for Large-Scale Livecaset Scheduling","year":2020,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Inefficiency; Quality of service; Scheduling (production processes); Quality of experience; Ignorance; Distributed computing; Scale (ratio); Computer network; Operations management","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":[0.002213696,0.0008871331,0.001122743,0.0006967756,0.0008955047,0.001143174,0.001784961,0.0005631038,0.001961784],"category_scores_gemma":[0.006670413,0.0003479399,0.0002731536,0.0008279293,0.0006016125,0.001406943,0.001587708,0.001093063,0.0004515871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000767182,"about_ca_system_score_gemma":0.001352256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482516,"about_ca_topic_score_gemma":0.005689499,"domain_scores_codex":[0.9990621,0.0002056278,0.00004088104,0.0002663962,0.0002515834,0.0001735024],"domain_scores_gemma":[0.9960757,0.001807888,0.0004041376,0.0007133061,0.0005435305,0.0004553682],"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":[0.0009376208,0.0009137146,0.009813826,0.000186142,0.0001941926,0.0004810164,0.0004978143,0.5897083,0.07631689,0.01376835,0.006836496,0.3003458],"study_design_scores_gemma":[0.00003285809,0.0001261944,0.001235763,0.000007352152,0.00002487604,0.00007503165,0.00007139108,0.9879078,0.002649938,0.006142658,0.001706617,0.00001945695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1232522,0.001371793,0.8660603,0.0005874916,0.0003236136,0.0002308991,0.0001399086,0.002224475,0.005809368],"genre_scores_gemma":[0.9704216,0.0001934799,0.0284815,0.0001106717,0.0001492689,0.00004317667,0.00009340884,0.00008278935,0.0004240506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003482516,"threshold_uncertainty_score":0.01170731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07330646403050618,"score_gpt":0.3205819961163865,"score_spread":0.2472755320858803,"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."}}