{"id":"W3001537166","doi":"10.1002/qre.2623","title":"Confidence limits for compliance testing using mixed acceptance criteria","year":2020,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Moratuwa; National Research Council Sri Lanka; Faculty of Graduate Studies and Research, University of Regina","keywords":"Confidence interval; Statistics; Parametric statistics; Limit (mathematics); Sample (material); Acceptance testing; Mathematics; Quality (philosophy); Econometrics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.1232328,0.001975578,0.002590089,0.005858911,0.001157635,0.004967569,0.00428878,0.003100301,0.004599816],"category_scores_gemma":[0.4081422,0.001003356,0.002624089,0.002415685,0.004751194,0.005407893,0.005147846,0.005044428,0.0008191988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762819,"about_ca_system_score_gemma":0.001669391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070497,"about_ca_topic_score_gemma":0.0004439439,"domain_scores_codex":[0.8557445,0.1037573,0.005040278,0.006046249,0.02719919,0.002212449],"domain_scores_gemma":[0.3582853,0.5795243,0.01480838,0.01695564,0.02883079,0.001595614],"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":[0.001877699,0.0003936581,0.01597905,0.0008257242,0.0007677352,0.00052457,0.001629497,0.1806799,0.004345304,0.6465951,0.002953827,0.1434279],"study_design_scores_gemma":[0.0001340945,0.0009386835,0.003044605,0.0004092157,0.0001144537,0.0003825527,0.0002317477,0.82503,0.003934033,0.1629585,0.002672193,0.0001499122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02907418,0.0004355299,0.9653293,0.0003579034,0.00007555517,0.0001751354,0.00007919223,0.0003092661,0.004164026],"genre_scores_gemma":[0.6938206,0.0002300449,0.3025312,0.0003425918,0.000199864,0.001186927,0.0003541911,0.0002352576,0.001099463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1232328,"threshold_uncertainty_score":0.6517252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5045208900524006,"score_gpt":0.5088491805428861,"score_spread":0.004328290490485442,"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."}}