{"id":"W2510263867","doi":"10.1109/isit.2016.7541296","title":"Bandwidth adaptive & error resilient regenerating codes with minimum repair bandwidth","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Distributed data store; Bandwidth (computing); Linear network coding; Coding (social sciences); Distributed computing; Computer network; Mathematics","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":[0.0002837756,0.0002834345,0.0002765628,0.0001526086,0.0002184104,0.000072925,0.00115573,0.00009948754,0.00004030232],"category_scores_gemma":[0.0002873735,0.0001549132,0.0000650404,0.0004659026,0.0002729714,0.001129788,0.0007150996,0.0001342188,0.0001231267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266826,"about_ca_system_score_gemma":0.00009450292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002676396,"about_ca_topic_score_gemma":0.0003961672,"domain_scores_codex":[0.997767,0.00006949528,0.0003075707,0.0009170374,0.0004169567,0.0005219169],"domain_scores_gemma":[0.9974381,0.0002822501,0.0001661701,0.001848633,0.0001560202,0.0001088296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002535337,0.0002344394,0.003945835,0.00002984491,0.0001594221,0.0001890415,0.0007223867,0.0008082903,0.02151346,0.7383343,0.07438865,0.1594208],"study_design_scores_gemma":[0.01181558,0.00711313,0.007119003,0.002169042,0.000141201,0.0009087736,0.002103952,0.05427369,0.5814093,0.0644456,0.2606929,0.007807786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02070892,0.0002506437,0.9708835,0.001885442,0.0001335815,0.0002640736,0.00002107822,0.002855699,0.002997028],"genre_scores_gemma":[0.29785,0.00002606952,0.6977677,0.0002067069,0.00003774201,0.00004618234,0.000003005899,0.00001819639,0.0040444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6738887,"threshold_uncertainty_score":0.6317179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823610934797491,"score_gpt":0.258848734211119,"score_spread":0.2306126248631441,"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."}}