Decisions are accompanied by a feeling of confidence, that is, a belief about the decision being correct. Confidence accuracy is critical, notably in high-stakes situations such as medical or financial decision-making. We investigated how incentive motivation influences confidence accuracy by combining a perceptual task with a confidence incentivization mechanism. By varying the magnitude and valence (gains or losses) of monetary incentives, we orthogonalized their motivational and affective components. Corroborating theories of rational decision-making and motivation, our results first reveal that the motivational value of incentives improves aspects of confidence accuracy. However, in line with a value-confidence interaction hypothesis, we further show that the affective value of incentives concurrently biases confidence reports, thus degrading confidence accuracy. Finally, we demonstrate that the motivational and affective effects of incentives differentially affect how confidence builds on perceptual evidence. Together, these findings may provide new hints about confidence miscalibration in healthy or pathological contexts.
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http://dx.doi.org/10.1126/sciadv.aaq0668 | DOI Listing |
Background: Diabetic kidney disease (DKD) is one of the typical complications of type 2 diabetes (T2D), with approximately 10 % of DKD patients experiencing a Rapid decline (RD) in kidney function. RD leads to an increased risk of poor outcomes such as the need for dialysis. Albuminuria is a known kidney damage biomarker for DKD, yet RD cases do not always show changes in albuminuria, and the exact mechanism of RD remains unclear.
View Article and Find Full Text PDFHortic Res
January 2025
Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Appropriate root system architecture (RSA) can improve alfalfa yield, yet its genetic basis remains largely unexplored. This study evaluated six RSA traits in 171 alfalfa genotypes grown under controlled greenhouse conditions. We also analyzed five yield-related traits in normal and drought stress environments and found a significant correlation (0.
View Article and Find Full Text PDFIntest Res
January 2025
Division of Gastroenterology, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Background/aims: Diagnosis of cytomegalovirus (CMV) ileocolitis traditionally requires colonoscopy with tissue biopsy. Due to potential complications in high-risk patients, there is growing interest in serum and stool tests for diagnosing this condition. We aimed to evaluate the diagnostic accuracy of these noninvasive tests compared to traditional gold standards.
View Article and Find Full Text PDFIntroduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFDig Dis Sci
January 2025
Department of Pediatrics, University of Ulsan College of Medicine, Asan Medical Center Children's Hospital, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
Aims: Small bowel capsule endoscopy, which has been widely used to evaluate small bowel disease, has a risk of capsule retention (CR). The present systematic review and meta-analysis evaluated the accuracy of patency capsule (PC) and cross-sectional imaging (CSI) for predicting CR.
Methods: Databases, including MEDLINE/PubMed, EMBASE, Web of Science and the Cochrane library, were searched for articles through August 15, 2023, that investigated the diagnostic accuracy of PC or CSI for predicting CR.
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