{"id":"W1983574453","doi":"10.5555/982792.982947","title":"Optimally scheduling video-on-demand to minimize delay when server and receiver bandwidth may differ","year":2004,"lang":"en","type":"article","venue":"","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bandwidth (computing); Computer science; Network packet; Computer network; Upper and lower bounds; Scheduling (production processes); Bandwidth allocation; Real-time computing; Dynamic bandwidth allocation; Algorithm; Mathematics; Mathematical optimization","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":[0.0002785105,0.0002319906,0.0002378356,0.000160625,0.000221104,0.0003207087,0.0007064148,0.00008052409,0.00010934],"category_scores_gemma":[0.00004152308,0.0001925204,0.00008087713,0.0002832695,0.00006755251,0.0004399263,0.0004715661,0.000176967,0.0001157448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004087645,"about_ca_system_score_gemma":0.00004508413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005806035,"about_ca_topic_score_gemma":0.0000251247,"domain_scores_codex":[0.9983577,0.00004326787,0.000241058,0.0006412539,0.0003272859,0.0003894852],"domain_scores_gemma":[0.9989153,0.0001320447,0.00004198574,0.0005728053,0.00007164695,0.0002662673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002596887,0.0008001674,0.00518205,0.0001107212,0.0002845147,0.0003536768,0.009051881,0.03162862,0.001844711,0.8678378,0.005017305,0.07762879],"study_design_scores_gemma":[0.01596087,0.002647683,0.113714,0.001176661,0.0001183912,0.0005409679,0.0003931436,0.1633063,0.0276526,0.6351966,0.03394302,0.005349783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2202833,0.0001011181,0.7673413,0.008123427,0.0003333498,0.0002322706,0.000003186801,0.0002009824,0.003381033],"genre_scores_gemma":[0.3185788,0.00002335092,0.6768959,0.003585467,0.00007959463,0.00001307844,0.000001233096,0.00001264,0.0008099815],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2326413,"threshold_uncertainty_score":0.7850755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072290224461794,"score_gpt":0.2438851805099548,"score_spread":0.2231622782653368,"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."}}