{"id":"W1985373784","doi":"10.1109/allerton.2012.6483349","title":"An update model for network coding in cloud storage systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; File sharing; Cloud computing; Distributed data store; File system; Cloud storage; Coding (social sciences); Linear network coding; Distributed computing; Redundancy (engineering); Self-certifying File System; Peer-to-peer; Computer network; Data redundancy; Operating system; The Internet","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":[0.001008719,0.00009090069,0.0001296556,0.00004711217,0.0001637954,0.000144458,0.000743567,0.00003801927,0.000005607076],"category_scores_gemma":[0.00001145643,0.00008298217,0.00002654259,0.0002658507,0.00001142538,0.0007942982,0.0001824236,0.00009130474,0.00001262259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254593,"about_ca_system_score_gemma":0.00002477824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003440969,"about_ca_topic_score_gemma":0.00003494789,"domain_scores_codex":[0.9990644,0.0001276141,0.0002012096,0.0001651256,0.00008439623,0.0003572364],"domain_scores_gemma":[0.9990906,0.00008785276,0.00004944901,0.0006104222,0.00005554173,0.0001060951],"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":[0.000002872065,0.00003903151,0.0006455336,0.000004759083,0.000002987833,1.322688e-7,0.0006792252,0.257907,0.00008359149,0.7335316,0.003524113,0.003579176],"study_design_scores_gemma":[0.0001696652,0.0000118163,0.0001582686,0.00001767098,0.000001143392,0.000001209274,0.00002145631,0.993695,0.00001463942,0.000330552,0.005457292,0.0001212637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003903255,0.0009491361,0.9925976,0.0002486876,0.0005670439,0.0002463644,6.829674e-7,0.0001242033,0.001362961],"genre_scores_gemma":[0.9577603,0.0001592427,0.04099571,0.0004558036,0.0002652499,0.00005130855,0.000004565446,0.000007707809,0.0003000489],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9538571,"threshold_uncertainty_score":0.3383914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07126549040849027,"score_gpt":0.3108466752660667,"score_spread":0.2395811848575764,"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."}}