{"id":"W2191162306","doi":"10.1007/978-3-319-06245-7_4","title":"Big Data Storage","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Big data; Computer science; 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":["open_science"],"category_scores_codex":[0.003277948,0.0006151648,0.0006451461,0.001054312,0.0003759855,0.001004741,0.01669573,0.0002103328,0.00001508459],"category_scores_gemma":[0.00005376117,0.0006094249,0.0001202431,0.0006100612,0.0007226869,0.0001321483,0.02047504,0.0008336491,0.0002955486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045851,"about_ca_system_score_gemma":0.0004166667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004956808,"about_ca_topic_score_gemma":0.00003163699,"domain_scores_codex":[0.9936171,0.0000475449,0.0007357281,0.003027418,0.001613834,0.0009584335],"domain_scores_gemma":[0.991698,0.0001859214,0.0004096195,0.00725982,0.0001468708,0.0002997842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001510692,0.00002403686,0.00001601064,0.00005182374,0.00001503237,0.0001470248,0.0001638042,0.007074635,0.000005301528,0.2341765,0.001309589,0.7570147],"study_design_scores_gemma":[0.0002393941,0.00007784006,0.000261599,0.0003633127,0.000008107414,0.00003170655,4.856189e-7,0.6940528,0.00001075177,0.006730075,0.2974716,0.0007523935],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001882105,0.0002260331,0.8557673,0.0006094206,0.005572204,0.000301548,0.000003794292,0.0004236731,0.1369078],"genre_scores_gemma":[0.1904158,0.0001779949,0.5102637,0.007214836,0.01343659,0.00002689246,0.00003484021,0.0003603971,0.2780688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7562623,"threshold_uncertainty_score":0.9996357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04841397408402648,"score_gpt":0.2457264737339585,"score_spread":0.197312499649932,"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."}}