{"id":"W4390357323","doi":"10.1109/tcomm.2023.3347772","title":"Coded Reactive Stragglers Mitigation in Distributed Computing Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Redundancy (engineering); Computer science; Erasure; Erasure code; Exploit; Computation; Distributed computing; Real-time computing; Decoding methods; Algorithm; Computer security; 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":[0.0003711678,0.0001506484,0.0001750089,0.0005794682,0.0004151482,0.0001356405,0.001335502,0.00009168633,0.000003005859],"category_scores_gemma":[0.00002678869,0.0001746261,0.00006502365,0.002480916,0.0001074856,0.0003898106,0.0000174046,0.00035997,0.00006617275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540379,"about_ca_system_score_gemma":0.00007269794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001346531,"about_ca_topic_score_gemma":0.00006542273,"domain_scores_codex":[0.9985372,0.0002315927,0.00041336,0.0003059931,0.000248203,0.0002635944],"domain_scores_gemma":[0.9972974,0.0007034684,0.0001373436,0.001630176,0.0001541916,0.00007741873],"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":[0.00001066726,0.0005005435,0.00007642867,0.00002255394,0.00006119972,0.000005386858,0.003104064,0.913403,0.001302331,0.06997517,0.0007773103,0.01076139],"study_design_scores_gemma":[0.0003031914,0.00004453359,0.0006328541,0.0001035393,0.000008082906,0.000006911383,0.0003386976,0.9951619,0.001741759,0.0013197,0.0001585142,0.0001803263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002112019,0.00002058979,0.9932513,0.001723666,0.0003411401,0.0005305542,0.00006726805,0.001321407,0.0006320224],"genre_scores_gemma":[0.9721128,0.00007082982,0.02741908,0.00004741941,0.000006725159,0.0001890668,0.00007337468,0.00001572732,0.00006495586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9700008,"threshold_uncertainty_score":0.7121046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017722771061338,"score_gpt":0.2929483255678942,"score_spread":0.2527710978572809,"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."}}