{"id":"W2781778084","doi":"10.1080/03610926.2017.1417433","title":"Ordering results for series and parallel systems comprising heterogeneous exponentiated Weibull components","year":2018,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Majorization; Weibull distribution; Series (stratigraphy); Regular polygon; Exponentiated Weibull distribution; Outlier; Applied mathematics; Mathematics; Stochastic ordering; Scale (ratio); Subadditivity; Statistics; Combinatorics; Physics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002769604,0.0009896425,0.0006442668,0.001811211,0.0007294349,0.00110709,0.001189298,0.0005695717,0.004911582],"category_scores_gemma":[0.0116574,0.0003150369,0.001100646,0.001167316,0.001938543,0.003986132,0.001404566,0.001762198,0.0004915379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553742,"about_ca_system_score_gemma":0.0009512718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002699797,"about_ca_topic_score_gemma":0.002456899,"domain_scores_codex":[0.9988322,0.0002401142,0.00008482944,0.0002342156,0.0004348985,0.00017392],"domain_scores_gemma":[0.9913517,0.004461055,0.001499975,0.0008134087,0.001318975,0.0005548955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001498275,0.00009352083,0.005991798,0.0002619602,0.00006121273,0.0006033937,0.0005465074,0.1596121,0.009276473,0.7948449,0.001962542,0.02659574],"study_design_scores_gemma":[0.00001607369,0.0001436678,0.003402593,0.00003105558,0.00008033234,0.0004485375,0.0002876864,0.5865661,0.005317074,0.3988676,0.004781613,0.00005765553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1212252,0.001416468,0.8568338,0.0006043201,0.0001175484,0.00008513308,0.0002862979,0.000158971,0.01927226],"genre_scores_gemma":[0.9265171,0.002098719,0.05526724,0.0002723985,0.0003707777,0.00009654956,0.0005469652,0.0001433269,0.01468689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004911582,"threshold_uncertainty_score":0.01643085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472398560021325,"score_gpt":0.4561236981490402,"score_spread":0.3088838421469077,"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."}}