{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006565066,0.0001334191,0.0001962527,0.00002122078,0.0003569543,0.0005839272,0.0001567716,0.00004956965,0.000007583652],"category_scores_gemma":[0.00001825674,0.0001240959,0.00003971132,0.0001899189,0.000009992591,0.0004038962,0.00003823692,0.00005862578,0.000004066374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002952526,"about_ca_system_score_gemma":0.00004097971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000791566,"about_ca_topic_score_gemma":0.000004026935,"domain_scores_codex":[0.9985465,0.000244808,0.0004555416,0.0003532297,0.0001327231,0.0002672306],"domain_scores_gemma":[0.9994432,0.00008224662,0.0001538017,0.0001178534,0.0001123868,0.00009051466],"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":[0.00007070005,0.00004094519,0.001299677,0.0005928758,0.0001375859,0.0000126038,0.01567538,0.6576951,0.07687906,0.1480006,0.08322185,0.01637363],"study_design_scores_gemma":[0.0004802294,0.0003940917,0.00002467195,0.00006086661,0.00000716148,0.00002866593,0.0004624056,0.9856589,0.005217223,0.00006464865,0.007416193,0.0001849248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00163337,0.0002002024,0.9950682,0.0006213888,0.0005749839,0.001738508,0.000004224597,0.000109417,0.00004969698],"genre_scores_gemma":[0.9149218,0.000009458345,0.08208041,0.0006857738,0.0008903882,0.001357535,0.00001535559,0.00001234592,0.00002696492],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9132884,"threshold_uncertainty_score":0.5630823,"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."}}