The dependency of correctness on confidence.

<div><p>This study investigates whether individuals can learn to accurately discriminate between human-written and AI-produced texts when provided with immediate feedback, and if they can use this feedback to recalibrate their self-perceived competence. We also explore the specific crite...

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Autore principale:	Jiří Milička (18150195) (author)
Altri autori:	Anna Marklová (18150198) (author), Ondřej Drobil (18150213) (author), Eva Pospíšilová (18150204) (author)
Pubblicazione:	2025
Soggetti:	Microbiology Genetics Neuroscience Evolutionary Biology Developmental Biology Cancer Science Policy Mental Health Infectious Diseases helps correct misconceptions confident &# 8212 text types comparable ai technologies prior participants &# 8217 limits </ p ai stylistic features detect ai texts text readability along generated text features stylistic rigidity identify ai produced texts generated texts xlink "> used gpt two conditions textual style targeted training response times register corpus randomly assigned perceived competence particularly important participants made including expectations highly desirable generated content finding might false confidence errors precisely effectively learned educational contexts demographic data confidence levels also explore accurately discriminate
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The dependency of correctness on confidence.

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