{"id":"W3096442223","doi":"","title":"Toward a Generic Fault Tolerance Technique for Partial Network Partitioning.","year":2020,"lang":"en","type":"article","venue":"Operating Systems Design and Implementation","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Fault tolerance; Reliability engineering; Parallel computing; Distributed computing; Engineering","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":[0.0005003237,0.000422861,0.0004020713,0.0005425306,0.0004963507,0.0007184689,0.001495984,0.0005767723,0.00191827],"category_scores_gemma":[0.001475708,0.0002902159,0.0004915454,0.0007307916,0.000751678,0.001332701,0.00138557,0.001035752,0.000600083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887939,"about_ca_system_score_gemma":0.0006821738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009574773,"about_ca_topic_score_gemma":0.002009548,"domain_scores_codex":[0.9995883,0.00008375465,0.00002406243,0.00005677921,0.000186163,0.00006098565],"domain_scores_gemma":[0.9993472,0.00008667354,0.00004979179,0.0003330045,0.0001498549,0.00003353195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003174785,0.0001359841,0.001305033,0.0004803938,0.0001110451,0.0002156947,0.0004662932,0.1610835,0.08778936,0.168751,0.01308079,0.5662634],"study_design_scores_gemma":[0.00006510599,0.0003650769,0.001004645,0.0001177597,0.0001182748,0.0008555389,0.0001567353,0.778927,0.05403381,0.1074573,0.05685394,0.00004472565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00989091,0.0003241771,0.9862757,0.000115298,0.00004800731,0.00003830857,0.00003045785,0.001045402,0.002231741],"genre_scores_gemma":[0.2041515,0.0005906285,0.7901859,0.0001879854,0.00006068892,0.0001206575,0.0002226621,0.000346721,0.004133214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00191827,"threshold_uncertainty_score":0.006417215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06937251658217819,"score_gpt":0.3019854254663023,"score_spread":0.2326129088841241,"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."}}