{"id":"W2058886196","doi":"10.1109/ieem.2009.5372903","title":"Reliability prediction of an Ethernet Bus Interface Controller in a nuclear power plant simulator","year":2009,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Ethernet; Reliability (semiconductor); Upgrade; Controller (irrigation); Interface (matter); Nuclear power plant; Reliability engineering; Embedded system; Failure rate; Local area network; Computer science; Power (physics); Engineering; Simulation; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008795631,0.0005020734,0.0002140716,0.0005331438,0.0002331774,0.0002473265,0.0004089417,0.0003210403,0.0006239381],"category_scores_gemma":[0.003835938,0.0001963056,0.0001781756,0.0002130396,0.0003202491,0.0002455218,0.0001477383,0.0004988577,0.00009867545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008723314,"about_ca_system_score_gemma":0.0005023511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544454,"about_ca_topic_score_gemma":0.01110048,"domain_scores_codex":[0.9996679,0.00009386487,0.00001638665,0.00004437086,0.0001322355,0.00004519989],"domain_scores_gemma":[0.9966937,0.002003558,0.0002557101,0.0001520969,0.000809626,0.00008535894],"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":[0.0004195361,0.00007813412,0.02927147,0.00004281103,0.0000291013,0.0001738657,0.0001208264,0.943672,0.01458808,0.0004357504,0.0004000597,0.01076835],"study_design_scores_gemma":[0.00000714472,0.0001896023,0.004019489,0.000002292038,0.00001300827,0.00002096033,0.00001825457,0.9897584,0.005836598,0.0000634611,0.00006577247,0.000005111227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828637,0.00007373203,0.01605448,0.00004335561,0.000007427293,0.00001644952,0.00008205415,0.0002643335,0.0005944737],"genre_scores_gemma":[0.9985821,0.000014624,0.001200111,0.000002001651,7.99977e-7,0.000004202692,0.00005265721,0.000006395359,0.00013704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01544454,"threshold_uncertainty_score":0.03070933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00630381886554044,"score_gpt":0.2180893472307157,"score_spread":0.2117855283651753,"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."}}