{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429825,0.0008151974,0.000591522,0.00111124,0.001115215,0.001926448,0.002332769,0.000663766,0.006085576],"category_scores_gemma":[0.004546608,0.0005593221,0.0004398492,0.0008563204,0.0005617435,0.002637001,0.00227211,0.0008245163,0.002649867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000565342,"about_ca_system_score_gemma":0.0008769818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007860804,"about_ca_topic_score_gemma":0.0008516634,"domain_scores_codex":[0.9991386,0.0001441333,0.0001246059,0.0001595072,0.0003273447,0.0001058359],"domain_scores_gemma":[0.9959721,0.0006661723,0.0002960351,0.002000492,0.0008456493,0.0002195427],"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":[0.003333385,0.0004111128,0.009463392,0.002443326,0.0002922562,0.001712848,0.001744916,0.03009213,0.1937842,0.02422326,0.1060273,0.6264718],"study_design_scores_gemma":[0.0005105332,0.001442385,0.005527107,0.0002342066,0.0001553579,0.002165122,0.0006289788,0.2778217,0.4917784,0.01484464,0.2046405,0.0002510021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1042891,0.00343568,0.7820815,0.0006635631,0.0006693878,0.001143164,0.003118155,0.0887431,0.01585631],"genre_scores_gemma":[0.6123946,0.001851558,0.351747,0.0005570423,0.0003117262,0.000720889,0.006329057,0.003724848,0.02236322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006085576,"threshold_uncertainty_score":0.02035826,"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."}}