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The dataset used for this study is in dataset_codex folder. The scripts for comment classification are in dataloader.py, model.py and prediction.py. The evaluation metrics are in rouge.py and cbleu.py. The code for evaluating codex on multi-intent comment classification is in test_codex.py, including all the selection and re-ranking strategies. The samples and the scores of the user study are in user_study_codex.java.
| 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 |
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| downloads | 52 |

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