{"id":"W2143664118","doi":"10.1002/eej.20961","title":"Estimating mean life of an aged power equipment group with operation data sequence","year":2009,"lang":"en","type":"article","venue":"Electrical Engineering in Japan","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Sequence (biology); Reliability engineering; Power (physics); Statistics; Computer science; Estimation; Engineering; Mathematics; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001295009,0.0004345611,0.0005142704,0.001532938,0.0001778372,0.000359146,0.0005180096,0.0003930622,0.0004766553],"category_scores_gemma":[0.007834292,0.0002503142,0.0003519279,0.000620508,0.0002586833,0.0009623537,0.0004547366,0.0004289868,0.0002637488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206105,"about_ca_system_score_gemma":0.0003521998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009112335,"about_ca_topic_score_gemma":0.0008202091,"domain_scores_codex":[0.9993256,0.000160756,0.00005710963,0.0002141861,0.000206556,0.00003580106],"domain_scores_gemma":[0.9963174,0.001564528,0.0007642996,0.0005048625,0.000752583,0.0000964459],"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":[0.0004116976,0.0001488093,0.1417495,0.0002472996,0.0002201648,0.0003643915,0.0005232459,0.4528008,0.0490847,0.006675802,0.0008170203,0.3469566],"study_design_scores_gemma":[0.00001033264,0.0002542743,0.02757643,0.0000278956,0.00005961541,0.0003661801,0.0000733208,0.9462177,0.01888144,0.005318154,0.001157893,0.00005681641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1999069,0.0001757499,0.7991359,0.00002575714,0.00001082606,0.00002666133,0.0001221534,0.0002137721,0.0003824141],"genre_scores_gemma":[0.8724718,0.0001165883,0.126335,0.00001468877,0.0000234174,0.00006104324,0.0004149149,0.0000223631,0.0005402433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001532938,"threshold_uncertainty_score":0.006848752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142573615095878,"score_gpt":0.2306942043019708,"score_spread":0.216436842792383,"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."}}