{"id":"W4409408243","doi":"10.3390/math13081274","title":"Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection","year":2025,"lang":"en","type":"article","venue":"Mathematics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Robustness (evolution); Computer science; Robustness testing; Reliability (semiconductor); Engineering; Artificial intelligence; Physics","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":[0.1222466,0.002003473,0.002481997,0.004049016,0.001044342,0.003906322,0.004685228,0.003649032,0.002183099],"category_scores_gemma":[0.4899275,0.0009721011,0.002907622,0.002988072,0.007768931,0.006422629,0.004852034,0.004882947,0.0004445608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032554,"about_ca_system_score_gemma":0.002328719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741556,"about_ca_topic_score_gemma":0.0008580503,"domain_scores_codex":[0.8949825,0.08522036,0.003573135,0.005648245,0.009354202,0.00122163],"domain_scores_gemma":[0.3280707,0.6224706,0.01324289,0.02842083,0.006995894,0.0007991052],"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":[0.001282257,0.0003242402,0.0298077,0.001518715,0.001144965,0.001255692,0.0009437794,0.4640613,0.009515683,0.3617301,0.001629596,0.126786],"study_design_scores_gemma":[0.00009735981,0.0009158083,0.005695758,0.0003234727,0.0002607763,0.0008360315,0.0003213489,0.6975865,0.009272351,0.2810801,0.003489031,0.0001213962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01691032,0.001070253,0.9777595,0.001465894,0.00008656225,0.0001783012,0.00009679536,0.0002157975,0.00221655],"genre_scores_gemma":[0.5812321,0.001256207,0.4134062,0.0008622106,0.0004475117,0.0008129692,0.0003170126,0.0002543971,0.001411333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1222466,"threshold_uncertainty_score":0.6465093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08095513669360337,"score_gpt":0.3503043991663055,"score_spread":0.2693492624727021,"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."}}