{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005209616,0.0001107259,0.0002718042,0.00005814174,0.0001102942,0.00003170732,0.00005857207,0.00005322557,0.00002253283],"category_scores_gemma":[0.01374788,0.00008122099,0.00001565456,0.000225918,0.0001648003,0.00004244477,0.00003331057,0.0001051107,3.142546e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578627,"about_ca_system_score_gemma":0.00007714852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006567142,"about_ca_topic_score_gemma":0.0000120457,"domain_scores_codex":[0.9991338,0.00005162634,0.0003762181,0.0001678941,0.0001471895,0.0001232422],"domain_scores_gemma":[0.9947345,0.004475546,0.0001562504,0.0002387112,0.0003622294,0.00003273848],"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":[0.00003649,0.00121414,0.003403556,0.01124238,0.00007769358,0.000005777597,0.005543866,0.001225356,0.002509864,0.9588651,0.00009439662,0.01578136],"study_design_scores_gemma":[0.0002019254,0.0001047702,0.0002912955,0.0004133658,0.00008235714,0.00001267264,0.0004366439,0.1555305,0.005574922,0.8372564,0.0000013032,0.00009392267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3110461,0.000009030629,0.6855141,0.00006197298,0.00001745599,0.000236805,0.000004126451,0.00004067698,0.003069762],"genre_scores_gemma":[0.4813103,4.19813e-7,0.5186161,0.000009275586,0.000003602033,0.00002068641,1.040717e-7,0.000005447516,0.00003398748],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1702642,"threshold_uncertainty_score":0.9945598,"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."}}