{"id":"W2950945524","doi":"10.48550/arxiv.1102.3059","title":"Profit-Aware Server Allocation for Green Internet Services","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Eurostars; European Commission","keywords":"Server; Profit (economics); Computer science; The Internet; Computer network; Quality of service; Service provider; Electricity; Environmental economics; Service (business); Business; Operations research; Microeconomics; World Wide Web; Economics; Marketing; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002075165,0.0002863635,0.0002624403,0.0001918906,0.00009642596,0.0001166767,0.002280585,0.0002655986,0.00001542634],"category_scores_gemma":[0.000004438355,0.0003229249,0.0002509023,0.000198927,0.00003814909,0.0005173678,0.001734002,0.0003229711,0.0001056589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248595,"about_ca_system_score_gemma":0.0001065557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003319583,"about_ca_topic_score_gemma":0.0005727971,"domain_scores_codex":[0.9983429,0.00007887978,0.0001798387,0.001033528,0.00007708989,0.0002877495],"domain_scores_gemma":[0.9982432,0.0000435706,0.0002430082,0.001081389,0.0002721609,0.0001166836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004596315,0.0004459902,0.03135323,0.003039217,0.001208084,0.0003634226,0.0059626,0.03140249,0.0002542721,0.9163564,0.002718373,0.006436233],"study_design_scores_gemma":[0.000670134,0.0001125792,0.002361571,0.0003177193,0.0001335616,0.000005024213,0.0001293879,0.9527788,0.0003146978,0.04175479,0.0007099533,0.0007117999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4943268,0.00005733592,0.5028625,0.0001328786,0.0007917915,0.0005072561,0.00001965062,0.0003665681,0.0009352115],"genre_scores_gemma":[0.9900559,0.00003002708,0.0003455951,0.000199787,0.00008750628,0.000005087744,0.00006264484,0.00001874918,0.009194767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9213763,"threshold_uncertainty_score":0.9999223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09316671526196685,"score_gpt":0.1820364743007783,"score_spread":0.08886975903881142,"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."}}