{"id":"W4200534353","doi":"10.32920/17190185.v1","title":"Transfer Learning Based Performance Modeling And Effective Storage Management In Big Data Ecosystems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Workload; Computer science; Big data; Cache; Distributed computing; Data management; Database; Transfer (computing); Data modeling; Information repository; Component (thermodynamics); Computer data storage; 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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007838436,0.0003694394,0.0004702235,0.0004404965,0.0001032117,0.0003433589,0.002746369,0.0002325805,0.000003219038],"category_scores_gemma":[0.00004963194,0.0003655429,0.00003685492,0.000400298,0.00004019799,0.00114623,0.008341691,0.001122817,0.000003903044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871063,"about_ca_system_score_gemma":0.00006915469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100914,"about_ca_topic_score_gemma":0.0001753039,"domain_scores_codex":[0.9970601,0.0001554987,0.0003801964,0.001689467,0.0003332445,0.0003814565],"domain_scores_gemma":[0.9968773,0.0001042564,0.00006348377,0.002854529,0.00005006962,0.00005036131],"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":[0.000006710786,0.00003398291,0.0001449166,0.0007431835,0.00003993169,0.0001470908,0.0001595137,0.7707188,0.0000438466,0.000671801,0.000007866877,0.2272824],"study_design_scores_gemma":[0.0003952307,0.00003213858,0.00008372013,0.0005131493,0.0000135877,0.000005639457,0.0002774539,0.9974672,0.000342612,0.0001568361,0.000307969,0.0004045198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1578679,0.0006030941,0.8393997,0.0001076475,0.0004240176,0.0007203908,0.00001646661,0.0005991419,0.0002616323],"genre_scores_gemma":[0.8893448,0.0005118063,0.109666,0.00004824722,0.00002580609,0.0001631294,0.0001843865,0.00002250361,0.00003339552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7314768,"threshold_uncertainty_score":0.9998797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617086414538442,"score_gpt":0.2607581010266625,"score_spread":0.2145872368812781,"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."}}