{"id":"W2153722981","doi":"10.1109/glocom.2009.5426077","title":"Revenue Management in the Presence of Self-Similar Alpha-Stable Distributions","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Burstiness; Bandwidth allocation; Revenue; Computer science; Revenue management; Bandwidth (computing); Mathematical optimization; Network topology; Context (archaeology); Alpha (finance); Econometrics; Computer network; Mathematics; Economics; Network packet; Statistics","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":[0.005018909,0.0007004534,0.001232101,0.0008046585,0.0005925936,0.002580164,0.001811923,0.001226535,0.001008159],"category_scores_gemma":[0.01465441,0.0006049844,0.0006032743,0.0007270018,0.00184697,0.003040959,0.001592306,0.00125143,0.0001994034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905085,"about_ca_system_score_gemma":0.0008702728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472118,"about_ca_topic_score_gemma":0.0007722538,"domain_scores_codex":[0.9981604,0.0008087551,0.00006232724,0.0002796408,0.0003453247,0.0003435546],"domain_scores_gemma":[0.9867254,0.008953188,0.001880405,0.0005500618,0.001209591,0.0006813516],"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":[0.0001784701,0.00006278045,0.001733089,0.00004680037,0.00006680893,0.0005114989,0.0001418174,0.8257896,0.002071959,0.1602925,0.001069822,0.008034856],"study_design_scores_gemma":[0.000009700751,0.00002123822,0.0001765685,0.000003015263,0.000005489174,0.00004698483,0.00001948116,0.9667566,0.0002092941,0.03261373,0.000129382,0.000008554076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2783399,0.0005293813,0.714866,0.001064972,0.00007357526,0.00004413545,0.00009351908,0.0001877882,0.00480079],"genre_scores_gemma":[0.9905505,0.0001584056,0.007842758,0.000052143,0.00005051633,0.00001808074,0.00002392094,0.00002091566,0.001282679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005018909,"threshold_uncertainty_score":0.02654284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064058518657181,"score_gpt":0.2398624573220591,"score_spread":0.2292218721354873,"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."}}