{"id":"W4415291912","doi":"10.1016/j.cie.2025.111600","title":"Reliability estimation under cyclic accelerated life-testing based on scale family of distributions","year":2025,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Xi’an Jiaotong-Liverpool University; Natural Science Foundation of Jiangsu Province","keywords":"Estimator; Extrapolation; Interpretability; Reliability (semiconductor); Parametric statistics; Kernel density estimation; Scale parameter; Robustness (evolution); Estimation theory; Equivalence (formal languages)","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":[0.0002542369,0.0001733604,0.0002721673,0.0001390222,0.0001234478,0.00004141714,0.0001792278,0.0001491533,0.00001921502],"category_scores_gemma":[0.003649738,0.0001839927,0.00007146856,0.0009936652,0.00005700397,0.00007077507,0.00004296331,0.0002731501,0.000007262255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722233,"about_ca_system_score_gemma":0.0001658362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000148059,"about_ca_topic_score_gemma":2.327124e-7,"domain_scores_codex":[0.998744,0.00004657915,0.0005638228,0.0002482665,0.0001943286,0.000202971],"domain_scores_gemma":[0.9972801,0.001943589,0.0001306524,0.0003343906,0.0002018639,0.0001094163],"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":[0.0000236518,0.0002743045,0.0001607453,0.00009014158,0.00002839799,4.131959e-7,0.00001089671,0.7663989,0.00218543,0.2219964,0.002855202,0.005975468],"study_design_scores_gemma":[0.0008166667,0.0000304053,0.01602903,0.0002563449,0.00004645892,2.681177e-7,0.000009623435,0.9763081,0.001560702,0.004644404,0.0001510719,0.0001469285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09582389,0.000002758609,0.9024036,0.0003801619,0.0002826185,0.0003520151,0.0001623537,0.0002578084,0.0003347858],"genre_scores_gemma":[0.9469669,2.142263e-7,0.05266085,0.00007891228,0.00004853537,0.00004854304,0.0001734483,0.00001183563,0.00001070003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8511431,"threshold_uncertainty_score":0.7503005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508850704649119,"score_gpt":0.3474446445508307,"score_spread":0.1965595740859188,"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."}}