Übersetzung und Analyse von Wörtern durch künstliche Intelligenz ChatGPT
Auf dieser Seite erhalten Sie eine detaillierte Analyse eines Wortes oder einer Phrase mithilfe der besten heute verfügbaren Technologie der künstlichen Intelligenz:
- wie das Wort verwendet wird
- Häufigkeit der Nutzung
- es wird häufiger in mündlicher oder schriftlicher Rede verwendet
- Wortübersetzungsoptionen
- Anwendungsbeispiele (mehrere Phrasen mit Übersetzung)
- Etymologie
reproducible area - Übersetzung nach russisch
![cylinder]] of the same height and radius.](https://commons.wikimedia.org/wiki/Special:FilePath/Archimedes sphere and cylinder.svg?width=200 "cylinder]] of the same height and radius.")
![sectors]] which rearrange to form an approximate [[parallelogram]].](https://commons.wikimedia.org/wiki/Special:FilePath/CircleArea.svg?width=200 "sectors]] which rearrange to form an approximate [[parallelogram]].")
![A square metre [[quadrat]] made of PVC pipe.](https://commons.wikimedia.org/wiki/Special:FilePath/SquareMeterQuadrat.JPG?width=200 "A square metre [[quadrat]] made of PVC pipe.")
- closed area
- controlled area
- controlled access area
- fenced area
- fingerprint pattern area
- high risk area
- inaccessible area
- key area
- limited area
- logically protected area
- monitored area
- physically protected area
- protected area
- restricted area
- secret area
- secure area
- secure storage area
- security-sensitive area
- survey area
- target area
- user area
Wikipedia
Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated. There are different kinds of replication but typically replication studies involve different researchers using the same methodology. Only after one or several such successful replications should a result be recognized as scientific knowledge.
With a narrower scope, reproducibility has been introduced in computational sciences: Any results should be documented by making all data and code available in such a way that the computations can be executed again with identical results.
In recent decades, there has been a rising concern that many published scientific results fail the test of reproducibility, evoking a reproducibility or replication crisis.
