{"id":"W4402195061","doi":"10.1002/qre.3654","title":"Reliability test for degradation data based on ranked set sampling","year":2024,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Xi’an Jiaotong-Liverpool University; Government of Jiangsu Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Reliability engineering; Reliability (semiconductor); Sampling (signal processing); Computer science; Statistics; Data set; Data mining; Degradation (telecommunications); Test (biology); Engineering; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0196367,0.000962004,0.001624031,0.002585766,0.0006512006,0.001376692,0.002279912,0.001426225,0.003379383],"category_scores_gemma":[0.09665461,0.0002752901,0.001147275,0.001572627,0.002258511,0.002397482,0.001345502,0.001381222,0.0005761511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009318215,"about_ca_system_score_gemma":0.001361423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161493,"about_ca_topic_score_gemma":0.0005151319,"domain_scores_codex":[0.9788552,0.01392629,0.0006888094,0.001335815,0.004674784,0.0005191107],"domain_scores_gemma":[0.8900056,0.09028991,0.005112928,0.006292876,0.007557031,0.0007416313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003151227,0.001050715,0.0517584,0.001541892,0.0008613952,0.0008691229,0.0008483543,0.3883522,0.02177899,0.2475432,0.004691065,0.2775535],"study_design_scores_gemma":[0.0001516519,0.001704182,0.009099744,0.0001246718,0.00009701188,0.0003911576,0.0003011372,0.9192544,0.01065767,0.05654557,0.001570992,0.0001018834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.120179,0.000297221,0.8761373,0.000201748,0.00006957285,0.0002759262,0.0002796776,0.0003250689,0.002234414],"genre_scores_gemma":[0.8729458,0.0001120078,0.1251465,0.0001568556,0.00006715881,0.0004248591,0.0004979699,0.00004921567,0.0005996293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0196367,"threshold_uncertainty_score":0.10385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071854630515051,"score_gpt":0.3644978498007408,"score_spread":0.2573123867492357,"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."}}