{"id":"W2899166719","doi":"10.1016/j.future.2018.10.030","title":"Optimizing the cost of DBaaS object placement in hybrid storage systems","year":2018,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Bretagne Occidentale; Providence Health Care","keywords":"Computer science; Scalability; Provisioning; Cloud computing; Context (archaeology); Distributed computing; Heuristic; Class (philosophy); Object (grammar); Cloud storage; State (computer science); Algorithm; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007419872,0.0002489841,0.000357025,0.0002427942,0.0002162079,0.0003613276,0.001478845,0.00009839333,0.00000218814],"category_scores_gemma":[0.00001755077,0.0001833225,0.0000511666,0.0005700671,0.0001017914,0.0006126178,0.0005394213,0.0002057984,0.00002527441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997712,"about_ca_system_score_gemma":0.00008159717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006571366,"about_ca_topic_score_gemma":0.00004274581,"domain_scores_codex":[0.9976972,0.0002843085,0.0006472508,0.0005654981,0.0004663313,0.0003394056],"domain_scores_gemma":[0.9978148,0.000081078,0.0003904316,0.001419242,0.0002472423,0.00004714595],"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":[0.00001527097,0.00009845959,0.00009464336,0.0001326017,0.00007376365,0.00005597772,0.00304172,0.6687291,0.002482934,0.06532269,0.2504863,0.009466594],"study_design_scores_gemma":[0.0003591763,0.0001696488,0.00004030095,0.00008117771,0.000004102576,0.00007382836,0.0002926609,0.9014934,0.002183006,0.000005447761,0.09507778,0.0002195143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002880928,0.001919092,0.9455953,0.0002875071,0.04797193,0.0009360652,0.00002090292,0.0002839598,0.000104299],"genre_scores_gemma":[0.828896,0.00005872084,0.1316353,0.0002309287,0.03856057,0.0003252286,0.00006697522,0.00003778556,0.0001885048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8260151,"threshold_uncertainty_score":0.7475677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340986761953898,"score_gpt":0.2489365410868234,"score_spread":0.2255266734672844,"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."}}