{"id":"W2071072864","doi":"10.1145/2479942.2479944","title":"A study of pricing for cloud resources","year":2013,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bandwidth throttling; Cloud computing; Revenue; Computer science; Sizing; Revenue management; Work (physics); Position (finance); Resource (disambiguation); Dynamic pricing; Yield management; Order (exchange); TRACE (psycholinguistics); Pricing strategies; Operations research; Microeconomics; Economics; Finance; Engineering; Computer network","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":[0.004348794,0.0001550807,0.0003544046,0.0003622529,0.0001758579,0.00007973393,0.00146581,0.00003101738,0.00002857999],"category_scores_gemma":[0.001811821,0.0001231164,0.00009279276,0.002483588,0.0000159074,0.00009718491,0.000559635,0.0000943105,0.00004711191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000647046,"about_ca_system_score_gemma":0.00004207008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002072642,"about_ca_topic_score_gemma":5.537514e-7,"domain_scores_codex":[0.9975093,0.0001961499,0.0006706052,0.0003889855,0.0009895441,0.0002454327],"domain_scores_gemma":[0.996989,0.0004762058,0.0004668712,0.001268163,0.0007432271,0.00005657905],"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":[0.000001475348,0.0002567569,0.002852641,0.001222594,0.00004260041,1.640021e-7,0.001061385,0.00392303,0.000006066191,0.0001656615,0.004428232,0.9860394],"study_design_scores_gemma":[0.001817125,0.001650667,0.03835497,0.002129179,0.0002788879,0.000004677928,0.0003760751,0.9348015,0.00009222229,0.0004278406,0.01959603,0.0004707767],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658264,0.01849105,0.009258611,0.0007307574,0.0003492333,0.004409637,2.64648e-7,0.00008508121,0.0008489711],"genre_scores_gemma":[0.9869406,0.001769681,0.009942029,0.0005145966,0.0001050534,0.0005466447,0.000001744806,0.0000116795,0.0001679416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9855686,"threshold_uncertainty_score":0.5020542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0748627552035288,"score_gpt":0.3309185571514581,"score_spread":0.2560558019479293,"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."}}