{"id":"W2579587788","doi":"10.1109/tmm.2017.2652061","title":"CrowdTranscoding: Online Video Transcoding With Massive Viewers","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Multimedia","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Qatar National Research Fund","keywords":"Transcoding; Computer science; Multimedia; Schedule; Quality of experience; Workload; Crowdsourcing; Phone; Quality (philosophy); Key (lock); PlanetLab; Computer network; The Internet; Quality of service; World Wide Web; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002472806,0.0003093818,0.0003167601,0.0001753213,0.001020563,0.0005251687,0.001333835,0.0001088299,0.00008120116],"category_scores_gemma":[0.00001191368,0.0002635301,0.0001899121,0.0001503759,0.0002101188,0.001399407,0.000003308617,0.0004752103,0.0000911614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008624255,"about_ca_system_score_gemma":0.0001438104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001488887,"about_ca_topic_score_gemma":0.0002858698,"domain_scores_codex":[0.9979557,0.00008461433,0.0003293096,0.0006212113,0.0005305242,0.0004785846],"domain_scores_gemma":[0.9979094,0.0001896149,0.0001729215,0.001366949,0.0001283602,0.0002327542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003443991,0.002333777,0.0001646325,0.0002331849,0.0005509498,0.0004490725,0.009988956,0.01308162,0.03777973,0.001099643,0.0005189001,0.9334552],"study_design_scores_gemma":[0.01088028,0.001623041,0.006633407,0.001144903,0.0003546675,0.00009273338,0.0007684843,0.4337358,0.534934,0.0004149659,0.006849393,0.002568241],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007009839,0.00002860528,0.9863533,0.004420913,0.0009213474,0.0003498347,0.00004128417,0.000231687,0.0006431317],"genre_scores_gemma":[0.8986589,0.00007904731,0.1001298,0.0005327654,0.00008309595,0.00005321019,0.000003137196,0.00002651563,0.0004335546],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9308869,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487678475989811,"score_gpt":0.323983511580692,"score_spread":0.2752156639817109,"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."}}