{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468346,0.0001511169,0.0002764554,0.00007142482,0.0004475385,0.0001000604,0.0001697954,0.00007583896,0.00001407865],"category_scores_gemma":[0.002801776,0.0001537772,0.00001678984,0.0001208254,0.0004775944,0.00008768349,0.0001253793,0.0001193858,0.000003054011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003149781,"about_ca_system_score_gemma":0.00001508753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001910493,"about_ca_topic_score_gemma":0.00001389932,"domain_scores_codex":[0.9976607,0.00122566,0.0006027301,0.0002399492,0.00008409354,0.0001868608],"domain_scores_gemma":[0.9934153,0.005562914,0.0002363822,0.0004683596,0.0002272742,0.0000898026],"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":[0.0003196952,0.00006452772,0.00001907165,0.0001198656,0.00002264878,3.389205e-7,0.0006505098,0.00002345162,0.0005897254,0.9915827,0.0003305302,0.006276951],"study_design_scores_gemma":[0.001378552,0.00009680184,0.001545397,0.0001750924,0.0000560328,0.00002714817,0.0005193403,0.06192914,0.0004260304,0.9283768,0.005227257,0.000242419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006395648,0.0004310775,0.991241,0.0001358991,0.0000761097,0.0005648477,0.0007172926,0.00006857981,0.0003695556],"genre_scores_gemma":[0.3657741,0.0001340178,0.6335412,0.0000321255,0.00001422347,0.0001425875,0.0002501567,0.00001423441,0.00009739747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3593785,"threshold_uncertainty_score":0.6270854,"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."}}