{"id":"W3105665977","doi":"10.31033/ijemr.10.5.11","title":"Database Performance Management in Cloud","year":2020,"lang":"en","type":"article","venue":"International Journal of Engineering and Management Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Database; Cloud computing; Payroll; Computer science; Backup; Authentication (law); Encryption; Business; Computer security; Accounting","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":[0.0008189384,0.0001021259,0.0001198175,0.000788543,0.00003512753,0.0002467475,0.0006700182,0.00002312272,0.00008069003],"category_scores_gemma":[0.00007033064,0.00009260328,0.00003014563,0.0005241787,0.00003200357,0.0009749019,0.0006287458,0.0002793951,0.00005424259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003680718,"about_ca_system_score_gemma":0.000005677834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002241608,"about_ca_topic_score_gemma":0.000001792369,"domain_scores_codex":[0.9985256,0.000006412589,0.0003125005,0.0001698659,0.0007602358,0.0002253505],"domain_scores_gemma":[0.9995062,0.00002695773,0.00007963294,0.0001022692,0.000257989,0.00002693761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001621813,0.0007326599,0.03427021,0.006484101,0.001303924,0.005101157,0.0004133658,0.04040155,0.001602477,0.4062254,0.08091662,0.4209267],"study_design_scores_gemma":[0.001602676,0.00004885987,0.02368619,0.0008950031,0.00003963952,0.00003068089,0.0004451163,0.08820796,0.0002053559,0.0004109603,0.8841045,0.0003230364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031036,0.001254428,0.02487782,0.02063295,0.003817434,0.0007919191,0.000009990279,0.0001110346,0.04540079],"genre_scores_gemma":[0.9949685,0.002197179,0.001044835,0.0004268307,0.001204851,0.000007257843,0.000009788394,0.00001381038,0.0001269281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8031879,"threshold_uncertainty_score":0.3776252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143616440515452,"score_gpt":0.3468817067404856,"score_spread":0.2325200626889404,"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."}}