{"id":"W2088271809","doi":"10.1109/msst.2014.6855555","title":"DedupT: Deduplication for tape systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Data deduplication; Computer science; Fragmentation (computing); Overhead (engineering); Database; Distributed computing; 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":[],"consensus_categories":[],"category_scores_codex":[0.000157489,0.00006590957,0.00008047702,0.00005176342,0.00006657603,0.00007794049,0.0008709555,0.00004489871,0.000001156538],"category_scores_gemma":[0.0001838201,0.00005520563,0.00001889755,0.0001516135,0.00002413813,0.0004313095,0.0001751959,0.00003374143,0.00006808557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002559405,"about_ca_system_score_gemma":0.000009924616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007658583,"about_ca_topic_score_gemma":0.00000241951,"domain_scores_codex":[0.9993829,0.000009405006,0.0001122624,0.0002576405,0.00008180659,0.0001560507],"domain_scores_gemma":[0.9989229,0.0001241271,0.00005454928,0.0008142178,0.000058648,0.00002555766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.768074e-7,0.000006225518,0.00002296029,0.000007798287,0.000001852111,7.152565e-8,0.000007883015,0.0001497791,0.0007936117,0.9271338,0.003800032,0.06807549],"study_design_scores_gemma":[0.000239306,0.0001061629,0.0002126077,0.000009008572,0.000003551422,0.00001104205,0.00003009689,0.6022069,0.009972006,0.07835547,0.3086329,0.000220988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004324723,0.00008537574,0.9953599,0.0007300018,0.000210733,0.0002357173,0.000001880785,0.001096256,0.00184769],"genre_scores_gemma":[0.4883932,0.000002938482,0.5109152,0.0001820697,0.00003382112,0.0001366789,0.000004673847,0.00000497185,0.0003263997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8487784,"threshold_uncertainty_score":0.225122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761957553266147,"score_gpt":0.2584118850594307,"score_spread":0.2407923095267693,"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."}}