{"id":"W2332854854","doi":"10.2316/p.2010.676-024","title":"A Proactive Fault Tolerance Framework for High-Performance Computing","year":2010,"lang":"en","type":"article","venue":"Parallel and Distributed Computing and Networks","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; UT-Battelle; Battelle; Advanced Scientific Computing Research; U.S. Department of Energy","keywords":"Computer science; Fault tolerance; Distributed computing; Software fault tolerance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948051,0.0009701982,0.0007253689,0.0007206721,0.001371834,0.002417593,0.003605871,0.001501354,0.001937705],"category_scores_gemma":[0.001976399,0.0004443998,0.001217685,0.0005805289,0.001447858,0.002108072,0.00195812,0.002184472,0.000705766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279743,"about_ca_system_score_gemma":0.002952912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006682661,"about_ca_topic_score_gemma":0.008445419,"domain_scores_codex":[0.9987422,0.0002227801,0.00006535969,0.0001619082,0.0006770066,0.0001308681],"domain_scores_gemma":[0.9990386,0.0002200054,0.00008960157,0.0002360883,0.0002750894,0.0001406325],"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":[0.0002038574,0.0002715043,0.001159586,0.0004682502,0.0001689726,0.000479595,0.0006325392,0.313239,0.01763061,0.4366211,0.02105022,0.2080748],"study_design_scores_gemma":[0.00005461387,0.000154099,0.0003990208,0.00006533289,0.0001050603,0.000294865,0.00008290258,0.833335,0.009277878,0.09583966,0.06030406,0.00008751133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00262784,0.0005972307,0.9902733,0.0004302395,0.0001217989,0.00009938029,0.00005486349,0.003486848,0.002308412],"genre_scores_gemma":[0.1603992,0.0008377753,0.8303807,0.0003772582,0.0002121853,0.0003693981,0.0002830673,0.0004086156,0.006731704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006682661,"threshold_uncertainty_score":0.01328754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066412900163553,"score_gpt":0.2445597651064829,"score_spread":0.2338956361048474,"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."}}