{"id":"W4296700615","doi":"10.18280/isi.270412","title":"A Hybrid Supervised Learning Approach for Detection and Mitigation of Job Failure with Virtual Machines in Distributed Environments","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Timestamp; Virtual machine; Load balancing (electrical power); Distributed computing; Virtual memory; Machine learning; Artificial intelligence; Memory management; Real-time computing; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970515,0.00009583506,0.000121686,0.0001886256,0.0003049517,0.0000855167,0.0001734234,0.00001899718,0.000001324363],"category_scores_gemma":[0.00003378792,0.00009028913,0.00002521512,0.000252307,0.00004117865,0.0002675277,0.0001892607,0.0001111095,3.604719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379527,"about_ca_system_score_gemma":0.00001310331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003867647,"about_ca_topic_score_gemma":0.000002821915,"domain_scores_codex":[0.9991401,0.0000830928,0.00028289,0.0001322725,0.0002200942,0.0001415748],"domain_scores_gemma":[0.9996002,0.00003885344,0.0001899109,0.0001225395,0.00002329981,0.00002519435],"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":[0.00007020996,0.00004499105,0.005161719,0.0002093716,0.00002906777,8.81989e-7,0.007211981,0.7562375,0.000531005,0.001107279,0.00001231672,0.2293837],"study_design_scores_gemma":[0.0007514695,0.0003673891,0.008604219,0.00002163037,0.000006438878,0.00002219675,0.001321364,0.9875408,0.0004856055,0.0002301926,0.000534367,0.0001142652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5186429,0.000007926821,0.4810109,0.00001661872,0.00001886331,0.0002128065,0.000005603531,0.00002873058,0.00005565751],"genre_scores_gemma":[0.9932114,9.171048e-7,0.006537767,0.00001877389,0.000008897026,0.000119062,0.00008431021,0.000004602626,0.00001429105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4745685,"threshold_uncertainty_score":0.3681884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005765771157275877,"score_gpt":0.1801098262288242,"score_spread":0.1743440550715483,"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."}}