
doi: 10.5281/zenodo.17160465 , 10.5281/zenodo.17160339 , 10.5281/zenodo.17159408 , 10.5281/zenodo.17159409 , 10.5281/zenodo.17160223 , 10.5281/zenodo.17160222 , 10.5281/zenodo.17160056 , 10.5281/zenodo.17159516 , 10.5281/zenodo.17160466 , 10.5281/zenodo.17160338 , 10.5281/zenodo.17160057 , 10.5281/zenodo.17159517
doi: 10.5281/zenodo.17160465 , 10.5281/zenodo.17160339 , 10.5281/zenodo.17159408 , 10.5281/zenodo.17159409 , 10.5281/zenodo.17160223 , 10.5281/zenodo.17160222 , 10.5281/zenodo.17160056 , 10.5281/zenodo.17159516 , 10.5281/zenodo.17160466 , 10.5281/zenodo.17160338 , 10.5281/zenodo.17160057 , 10.5281/zenodo.17159517
Train/test splits, trained model, and evaluation figure generated by the GreenInformationFactory pipeline. Raw data: 10.5281/zenodo.16256961.
machine learning, circular economy, FAIR
machine learning, circular economy, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
