A metric of knowledge as information compression reflects reproducibility predictions for biomedical experiments
Forecasting the reproducibility of research findings is one of the key challenges of metascience. Above-chance predictions have mainly been achieved by pooling the subjective ratings of experts, and how these predictions are formed remains to be understood. Here, we show that reproducibility forecas...
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| Main Authors: | Daniele Fanelli, Pedro Batista Tan, Olavo B. Amaral, Kleber Neves |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2025-07-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.241446 |
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