{"id":"W2526432252","doi":"10.1109/tcc.2015.2481432","title":"A Shapley-Value Mechanism for Bandwidth On Demand between Datacenters","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Shapley value; Cloud computing; Exploit; Bandwidth allocation; Scheduling (production processes); Bandwidth (computing); Payment; Computer network; Mechanism design; Game theory; Mathematical optimization; Computer security; Microeconomics; 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":[0.002330708,0.0002063072,0.0003002173,0.000236941,0.0007352576,0.0001912117,0.0006477838,0.0001036581,0.00005233099],"category_scores_gemma":[0.0001587671,0.0001763843,0.0001948364,0.0005592747,0.00007502773,0.0001522725,0.000004491681,0.0002598881,0.0003816234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008262607,"about_ca_system_score_gemma":0.00006790544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001042934,"about_ca_topic_score_gemma":0.000005991914,"domain_scores_codex":[0.9974925,0.0002152104,0.0006055543,0.0006450832,0.0007194208,0.0003222651],"domain_scores_gemma":[0.9966079,0.00199557,0.0002263265,0.0006516584,0.0002575326,0.0002610173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006946336,0.0009177859,0.000140031,0.00002328021,0.0002875568,0.000005120383,0.003980089,0.4079369,0.001218989,0.2941379,0.01706743,0.2735903],"study_design_scores_gemma":[0.005160161,0.001453331,0.0001738995,0.0001699205,0.000228884,0.00003782245,0.004220122,0.2891055,0.09602927,0.5699188,0.0323261,0.001176183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09472791,0.000004467339,0.9013593,0.001100559,0.001252176,0.0004354604,0.0001529468,0.0001427161,0.0008244413],"genre_scores_gemma":[0.9935061,0.000001258633,0.004652041,0.0006246532,0.000423348,0.00003529277,0.000007498274,0.00002397988,0.0007258112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8987782,"threshold_uncertainty_score":0.7192745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1786257779669171,"score_gpt":0.3937691964919853,"score_spread":0.2151434185250682,"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."}}