{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004020847,0.0001756936,0.0002623997,0.0001154569,0.00002048653,0.00002807374,0.000374047,0.00007345384,0.000006248557],"category_scores_gemma":[0.0001613197,0.0001610795,0.00001838983,0.0003938443,0.00001302105,0.0003846456,0.00002393596,0.0002692979,0.000002456775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248543,"about_ca_system_score_gemma":0.00002629539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002632066,"about_ca_topic_score_gemma":0.00001817213,"domain_scores_codex":[0.9987751,0.00002250673,0.0003576807,0.0002775133,0.0002158734,0.0003513657],"domain_scores_gemma":[0.999245,0.00004992355,0.00003027495,0.0005305576,0.00002031196,0.0001239069],"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":[0.00001772257,0.000073928,0.0001601515,0.00007571484,0.00001581948,0.000009369258,0.0004217941,0.9699041,0.02552681,0.0008834006,0.00004522815,0.002865997],"study_design_scores_gemma":[0.0003885248,0.0003974042,0.005656843,0.0001345989,0.000006116859,0.00001342133,0.00001032946,0.9919845,0.001119185,0.00001843061,0.0000600322,0.0002106531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926984,0.0001756308,0.2061006,0.00003766851,0.0001430087,0.0002769853,0.000005879493,0.0003366126,0.0002252624],"genre_scores_gemma":[0.9813135,0.000004864695,0.01854424,0.00002922735,0.00004100546,0.00001050101,0.00003002595,0.00002252735,0.000004083741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1886151,"threshold_uncertainty_score":0.6568632,"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."}}