{"id":"W4323048088","doi":"10.18280/mmep.100111","title":"Analysis Simple Step Stress Model under Competing Extension Weibull Failure Distribution Based on Progressive Type-II Censoring","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censoring (clinical trials); Weibull distribution; Extension (predicate logic); Simple (philosophy); Reliability engineering; Computer science; Mathematics; Statistics; Econometrics; Engineering; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569372,0.0007847119,0.0008744923,0.0007444921,0.0003289388,0.0006808249,0.001792577,0.0008861105,0.006202829],"category_scores_gemma":[0.003408871,0.0003345751,0.001204458,0.0008277482,0.0005623644,0.001165013,0.0006244616,0.0009642963,0.001103724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005184448,"about_ca_system_score_gemma":0.0008076587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004224509,"about_ca_topic_score_gemma":0.00316687,"domain_scores_codex":[0.9994317,0.0001473032,0.00002320907,0.000132253,0.0001834532,0.00008207514],"domain_scores_gemma":[0.9984731,0.0008646096,0.0001396236,0.0001913737,0.0002886998,0.0000425907],"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":[0.0001520094,0.00007400762,0.003333111,0.0002616499,0.000117842,0.0003654554,0.0001295215,0.8843796,0.005588062,0.06985012,0.003514715,0.03223386],"study_design_scores_gemma":[0.000007631585,0.00003389136,0.0007363801,0.000007546832,0.00002185184,0.00006827381,0.00001044848,0.9877801,0.0004401554,0.01029565,0.000585188,0.00001295693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04025633,0.0003975834,0.9542573,0.0002040024,0.00006197992,0.00009081043,0.0006328985,0.0003671784,0.003731874],"genre_scores_gemma":[0.9094213,0.001191098,0.0591136,0.0001871056,0.0001799701,0.0004199454,0.00210327,0.0002070468,0.02717666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006202829,"threshold_uncertainty_score":0.02075046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194456676242117,"score_gpt":0.2208647973931866,"score_spread":0.1989202306307654,"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."}}