{"id":"W2162828436","doi":"10.1109/imtc.2008.4547105","title":"QoS-Aware Service Selection for Multimedia Transcoding","year":2008,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transcoding; Computer science; Quality of service; Selection (genetic algorithm); Multimedia; Service (business); Path (computing); Mobile QoS; Computer network; Routing (electronic design automation); Ant colony optimization algorithms; Selection algorithm; Distributed computing; Service provider; Artificial intelligence","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":[0.00007429115,0.00006746687,0.00007227802,0.00004737182,0.0001897525,0.00003254881,0.0002417614,0.00003282381,0.000009401837],"category_scores_gemma":[0.000007345463,0.0000615683,0.00005651382,0.0001911776,0.000005740857,0.000284986,0.00001877316,0.00005466146,0.00003071249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001895712,"about_ca_system_score_gemma":0.00002991747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002403705,"about_ca_topic_score_gemma":0.0001205973,"domain_scores_codex":[0.9994394,0.00001268479,0.00009244269,0.0001997382,0.0001011838,0.0001545431],"domain_scores_gemma":[0.9996506,0.00006500455,0.00001854844,0.000126295,0.00009329333,0.00004626881],"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":[0.000293661,0.00106009,0.02135823,0.0004480824,0.0003648243,0.00006834284,0.03008381,0.007476174,0.3787768,0.03697369,0.1121401,0.4109561],"study_design_scores_gemma":[0.0004381041,0.00004475016,0.000704916,0.000008183526,0.000003784351,0.00004434801,0.00003259203,0.9920741,0.004155987,0.00006099944,0.002306079,0.0001261927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0829088,0.00002139432,0.9145352,0.001052563,0.0003853359,0.0001217388,0.000001132272,0.0003237765,0.0006500894],"genre_scores_gemma":[0.977037,0.000007853865,0.02069471,0.001073282,0.0001315141,0.00001782489,0.000002522284,0.000005279949,0.001029995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845979,"threshold_uncertainty_score":0.2510683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697169146902461,"score_gpt":0.2373170735039761,"score_spread":0.1903453820349515,"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."}}