{"id":"W2808200030","doi":"10.1109/icdcs.2018.00019","title":"Parallelism-Aware Locally Repairable Code for Distributed Storage Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Server; Computer science; Erasure code; Overhead (engineering); Distributed data store; Bottleneck; File server; Distributed computing; Parallel computing; Distributed database; Operating system; Decoding methods; Embedded system; Algorithm","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":[0.0005596178,0.0004803503,0.0004735732,0.0006423729,0.0005668995,0.0005920006,0.0009634546,0.0005283628,0.0009346358],"category_scores_gemma":[0.002978173,0.0001811814,0.0003277824,0.0007031548,0.0009033,0.001087994,0.001084567,0.0008611611,0.0003519451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008432266,"about_ca_system_score_gemma":0.001516926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006077,"about_ca_topic_score_gemma":0.002125877,"domain_scores_codex":[0.9993119,0.0001128352,0.00004966048,0.0001139599,0.0003029182,0.0001086179],"domain_scores_gemma":[0.9973183,0.0007341752,0.0003014189,0.000730535,0.0007509033,0.0001647291],"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":[0.0008491174,0.000220163,0.003016125,0.0004914419,0.00007725044,0.00045309,0.0005826013,0.5615306,0.1135198,0.06226116,0.01051016,0.2464885],"study_design_scores_gemma":[0.00005813064,0.0002013601,0.0003647989,0.00003479471,0.00002216725,0.0002374834,0.00006168649,0.9257715,0.04177808,0.02353144,0.007890281,0.00004835497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09132584,0.0009337734,0.9007488,0.0002530084,0.0001152946,0.0001178082,0.0001947041,0.003795791,0.002515067],"genre_scores_gemma":[0.7674574,0.0003567029,0.2277819,0.0001527644,0.00005704041,0.0002306496,0.0003298763,0.0003119265,0.003321948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002006077,"threshold_uncertainty_score":0.006118059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603272360650484,"score_gpt":0.2720260736237806,"score_spread":0.2459933500172757,"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."}}