{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334417,0.0009807349,0.0007005746,0.0006703744,0.0005037049,0.00172046,0.001642571,0.001151882,0.001140542],"category_scores_gemma":[0.004001722,0.0003640837,0.0007538756,0.0008080258,0.000695464,0.003086489,0.001074044,0.001315699,0.0003481242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872779,"about_ca_system_score_gemma":0.0009873328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00760153,"about_ca_topic_score_gemma":0.004002015,"domain_scores_codex":[0.9994717,0.000139659,0.00003334237,0.0001492831,0.0001124963,0.00009356683],"domain_scores_gemma":[0.99871,0.0006169145,0.0001610557,0.0001440578,0.0002920884,0.00007592815],"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":[0.00003539374,0.00007637803,0.00252018,0.00003683017,0.00002298665,0.00005423483,0.00005281362,0.9731049,0.001221891,0.003256851,0.0006773043,0.01894025],"study_design_scores_gemma":[4.881078e-7,0.000004603894,0.0001440575,0.000001110473,0.000001189159,0.00000294166,0.00000540857,0.9981722,0.0001692993,0.001441098,0.00005586345,0.000001811789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2799581,0.0009416631,0.7098764,0.001373724,0.0001050942,0.0001224597,0.0004143863,0.001587693,0.005620473],"genre_scores_gemma":[0.9706459,0.0003003188,0.02653217,0.0001115843,0.00004918937,0.00009953664,0.0003153184,0.00006690373,0.001879096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00760153,"threshold_uncertainty_score":0.01511455,"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."}}