{"id":"W2740261581","doi":"","title":"Improving Service Guarantees in Computing Utilities Using Volatile Public Resources","year":2004,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Service-level agreement; Service level; Revenue; Utility computing; Outsourcing; Profit (economics); Service (business); Cloud computing; Quality of service; Environmental economics; Operations research; Business; Finance; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004413299,0.0007318719,0.0008024283,0.0008497394,0.00210532,0.004529094,0.001850438,0.0008959302,0.003131614],"category_scores_gemma":[0.01820365,0.000599996,0.0004470846,0.00145675,0.002520651,0.006645546,0.004394067,0.002546739,0.0006208225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003102748,"about_ca_system_score_gemma":0.003022317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004902811,"about_ca_topic_score_gemma":0.004148444,"domain_scores_codex":[0.9964077,0.001182112,0.0001504888,0.0004433517,0.001009495,0.0008068073],"domain_scores_gemma":[0.990088,0.00487571,0.001167568,0.002239856,0.001027914,0.0006009108],"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":[0.000857799,0.0002473451,0.00268385,0.0001251109,0.00003906535,0.0004367502,0.001511293,0.4342389,0.01242608,0.4723358,0.003581237,0.07151678],"study_design_scores_gemma":[0.00005116304,0.00008807714,0.0004883434,0.00001512192,0.00001440338,0.00008022169,0.0004779015,0.8521219,0.004698365,0.1380766,0.003867038,0.00002069282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2609743,0.000310318,0.7212611,0.001796141,0.00007910773,0.00008077524,0.00007343693,0.001261137,0.01416379],"genre_scores_gemma":[0.9688632,0.0001380215,0.0286028,0.00005896065,0.00003358144,0.00003367127,0.00004792654,0.0001199502,0.002101653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004902811,"threshold_uncertainty_score":0.02333999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06013876135883686,"score_gpt":0.2482628643731087,"score_spread":0.1881241030142718,"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."}}