{"id":"W2945708630","doi":"10.1109/pccc.2018.8711214","title":"Stride: Distributed Video Transcoding in Spark","year":2018,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transcoding; Computer science; STRIDE; Speedup; SPARK (programming language); Benchmark (surveying); Cloud computing; Task (project management); Real-time computing; 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":[],"consensus_categories":[],"category_scores_codex":[0.000179881,0.0000979144,0.0001233228,0.000141506,0.00008964985,0.0001080209,0.001013241,0.00006733705,0.00004224636],"category_scores_gemma":[0.00007655326,0.00007941059,0.00003479957,0.0006713877,0.0000677791,0.0002863091,0.0002049398,0.0001251983,0.00007838508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000280457,"about_ca_system_score_gemma":0.00002573622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000040654,"about_ca_topic_score_gemma":0.00003821756,"domain_scores_codex":[0.9990495,0.0000272713,0.0001893805,0.0003097832,0.0001519217,0.0002721081],"domain_scores_gemma":[0.999321,0.00006489627,0.00003328399,0.0005001224,0.00003976198,0.00004086808],"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":[0.00002574935,0.0001976367,0.01057535,0.00002126847,0.00002045724,0.00006344789,0.000719916,0.0001068228,0.02101077,0.4317182,0.05176545,0.4837749],"study_design_scores_gemma":[0.001773423,0.000478108,0.02155692,0.0002898696,0.000006006399,0.00003540074,0.0003370612,0.1445362,0.6548573,0.09710712,0.07805535,0.00096725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07613337,0.00006042183,0.914853,0.00289764,0.0001833919,0.00007316147,0.000001512992,0.0009994732,0.004797972],"genre_scores_gemma":[0.9841647,0.00001215523,0.01538441,0.0001586213,0.00002932748,0.00000911081,7.901371e-7,0.00000338715,0.0002374578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080313,"threshold_uncertainty_score":0.323827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462369438540462,"score_gpt":0.2610948844958746,"score_spread":0.23647119011047,"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."}}