Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
reproducible area - traducción al ruso
![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.
