{"id":"W2979200953","doi":"10.1109/isit44484.2020.9174521","title":"Optimizing the Transition Waste in Coded Elastic Computing","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Joins; Computer science; Distributed computing; Spare part; Cloud computing; Redundancy (engineering); Scalability; Virtual machine; Computation; Theoretical computer science; Parallel computing; Algorithm; Database","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":[0.0008495034,0.0005128408,0.0005551751,0.0003606844,0.0003752744,0.0007614212,0.001077011,0.0005329087,0.001240035],"category_scores_gemma":[0.003760802,0.0002722153,0.0002325458,0.0005246466,0.001115552,0.001063574,0.001029126,0.000655512,0.0001739767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009253942,"about_ca_system_score_gemma":0.0008720958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637991,"about_ca_topic_score_gemma":0.001308677,"domain_scores_codex":[0.9995433,0.0001388577,0.0000202568,0.00006841763,0.00009917201,0.0001300356],"domain_scores_gemma":[0.9987054,0.0007833943,0.0001350193,0.0001583301,0.000124443,0.00009347743],"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":[0.0001692006,0.00003513115,0.0002458954,0.00003772712,0.000008853455,0.00003520588,0.00003831875,0.9628541,0.003128992,0.01756736,0.0003762053,0.015503],"study_design_scores_gemma":[0.000005270561,0.00002952241,0.00006478225,0.000002869068,0.000002549214,0.00001037822,0.0000123776,0.9920581,0.001335496,0.006286336,0.0001892108,0.000003212732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1928438,0.0002447949,0.8027002,0.0002178854,0.00005519787,0.0000435701,0.00004874764,0.0003261568,0.003519735],"genre_scores_gemma":[0.943812,0.00008402485,0.05419971,0.00005420383,0.00001033161,0.00004658162,0.00003876684,0.00007086265,0.001683604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001637991,"threshold_uncertainty_score":0.006714225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043746479869193,"score_gpt":0.2588260679419814,"score_spread":0.2283886031432895,"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."}}