Results 201 to 210 of about 18,935 (248)
From Tasks to Traits: Can LLMs Infer Personality From Brief Assessment Center Behavior?
ABSTRACT Assessment centers (ACs) could provide behavioral foundations for trait assessment but demand substantial resources, especially the labor‐intensive human rating process. As organizations adopt large language models (LLMs) for automated assessment, we establish initial psychometric benchmarks for LLM‐based trait inference from AC behavior.
Tobias Marc Härtel
wiley +1 more source
ABSTRACT Background Clinical ethics scholarship on deepfakes has focused primarily on patients as targets of synthetic deception, in which fabricated audiovisual material alters patient beliefs about clinicians and care. This focus neglects the reverse epistemic vulnerability: clinicians themselves as recipients of synthetic, adversarially generated ...
George Rugare Chingarande
wiley +1 more source
Heteroskedastic Structural Vector Autoregressions Identified via Long‐Run Restrictions
ABSTRACT A central assumption for identifying structural shocks in vector autoregressive (VAR) models via heteroskedasticity is the time‐invariance of the impact effects of the shocks. It is shown how that assumption can be tested when long‐run restrictions based on the cointegration structure of the variables are available for identifying structural ...
Martin Bruns, Helmut Lütkepohl
wiley +1 more source
Abstract How immigrants respond to discrimination is a well‐studied topic in political psychology. However, less attention has been paid to whether the impact of discrimination on in‐group identification varies within minority groups and why. In Western Europe, Muslims experience significant discrimination and hostility based on their religious ...
Osman Suntay, Constantin Ruhe
wiley +1 more source
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A formula for estimating pretest probability
Journal of General Internal Medicine, 1990Knowledge of the prevalence (or pretest probability) of a disease is necessary for the interpretation of the results of a diagnostic test in a specific population of patients. This paper evaluates a formula for estimating the prevalence of a disease in a population, based on the proportion of patients with abnormal test results in that population and ...
N M, Gayed, D E, Kern
openaire +2 more sources
Thrombosis Research, 2005
Pretest probability assessment and objective testing are combined to appropriately manage patients with suspected pulmonary embolism (PE). However, the interobserver reliability of pretest probability assessment has not been investigated. We sought to determine (for patients with suspected PE) the interobserver reliability of pretest probability ...
Marc Rodger, Ian Stiell, Philip Wells
exaly +3 more sources
Pretest probability assessment and objective testing are combined to appropriately manage patients with suspected pulmonary embolism (PE). However, the interobserver reliability of pretest probability assessment has not been investigated. We sought to determine (for patients with suspected PE) the interobserver reliability of pretest probability ...
Marc Rodger, Ian Stiell, Philip Wells
exaly +3 more sources
Pretest Probability: Should We Care?
Journal of the American College of Radiology, 2013t [ i a d t t o o c b s o h c i Pretest probability is a term most radiologists may be at least vaguely familiar with from lectures they may have attended on evidencebased medicine either as residents or at radiology meetings. However, although the term is reasonably self-explanatory, it is probably not a concept most radiologists understand very ...
openaire +2 more sources
New methods for estimating pretest probability in the diagnosis of pulmonary embolism
Current Opinion in Pulmonary Medicine, 2001The clinical assessment of the probability of pulmonary embolism is a key step in proposed diagnostic strategies for pulmonary embolism, because the interpretation of noninvasive test results is conditional on the pretest probability derived from the presence or absence of clinical factors.
W A, Ghali, J, Cornuz, A, Perrier
openaire +2 more sources

