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Application of the adaptive Monte Carlo method for uncertainty evaluation in the determination of total testosterone in human serum by triple isotope dilution mass spectrometry
The measurement uncertainty is a crucial quantitative parameter for assessing the reliability of the result. The study aimed to propose a new budget...
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Some pitfalls in the uncertainty evaluation of isotope delta reference materials
The Guide to the Expression of Uncertainty in Measurement (GUM) provides a framework for evaluating analytical data and characterizing their...
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Large-scale evaluation of k-fold cross-validation ensembles for uncertainty estimation
It is insightful to report an estimator that describes how certain a model is in a prediction, additionally to the prediction alone. For regression...
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Value assignment and uncertainty evaluation for anion and single-element reference solutions incorporating historical information
AbstractThe National Institute of Standards and Technology, which is the national metrology institute of the USA, assigns certified values to the...
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The optimization approach for uncertainty assessment of the heating value of aviation fuel
Accurately determining the calorific value of aviation kerosene is crucial for optimizing aircraft engine efficiency and design testing. However,...
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Error analysis of measurement uncertainty: a snapshot literature review in field of medicine and health in China
To analyze and statistically compare common errors in the evaluation of measurement uncertainty in medicine and health field, using literature...
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Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction
Deep learning models have proven to be a powerful tool for the prediction of molecular properties for applications including drug design and the...
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Measurement uncertainty of blood alcohol concentration (BAC) by headspace gas chromatography: comparison of different strategies
Analysis of blood alcohol concentration (BAC) is a routine analysis performed in many forensic laboratories. As BAC results are usually contested in...
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Uncertainty Measurements
It is well known that many analytical methods, internationally recognized, report the form of presentation of the result and specify limits for the...
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The issue of reporting the measurement uncertainty in accredited tests
The globalisation of trade and environmental and health requirements, supported by the physical–chemical characterisation of relevant items, have...
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Estimation of measurement uncertainty for the quantification of protein by ID-LC–MS/MS
The emergence of mass spectrometry (MS)-based methods to quantify proteins for clinical applications has led to the need for accurate and consistent...
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Uncertain of uncertainties? A comparison of uncertainty quantification metrics for chemical data sets
With the increasingly more important role of machine learning (ML) models in chemical research, the need for putting a level of confidence to the...
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Getting started with uncertainty evaluation using the Monte Carlo method in R
The evaluation of measurement uncertainty is often perceived by laboratory staff as complex and quite distant from daily practice. Nevertheless,...
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Expression for uncertainty intervals handling skewness when the relative standard uncertainty is independent of the measurand level
Uncertainty intervals for many measurement results are typically reported as symmetric intervals around the measured value. However, at large...
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Explainable uncertainty quantifications for deep learning-based molecular property prediction
Quantifying uncertainty in machine learning is important in new research areas with scarce high-quality data. In this work, we develop an explainable...
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Preliminary investigation of an uncertainty budget for uranium isotope ratio analysis using a liquid sampling—atmospheric pressure glow discharge—orbitrap mass spectrometer system
The liquid sampling-atmospheric pressure glow discharge (LS-APGD) ionization source has proven to be an effective analysis tool for making uranium...
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Identifying uncertainty in physical–chemical property estimation with IFSQSAR
This study describes the development and evaluation of six new models for predicting physical–chemical (PC) properties that are highly relevant for...
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Validation of UHPLC-MS/MS Method and Measurement Uncertainty Evaluation for Lactose Quantification in Lactose-Free and Regular UHT Milk
A fast, reliable, and sensitive ultra-high-performance liquid chromatography- tandem mass spectrometry (UHPLC-MS/MS) method for lactose determination...
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Use of the Monte Carlo method for the estimation of measurement uncertainty in chemical analysis systems with intensive mathematical treatment
In recent years, the scientific community has made great efforts to establish procedures for the estimation of uncertainty in various measurement...
