PMC:7796369 / 10650-11116
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 47 | 293-297 | Gene | denotes | cars | Gene:833 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T83 | 0-154 | Sentence | denotes | Our final network is 10 Mb in size, which is small enough to be implemented even on the smallest of mobile devices and is able to infer results instantly. |
| T84 | 155-422 | Sentence | denotes | More precisely, by entering the parameters (within reasonable ranges) listed in Table 1, our model is able to predict information such as cars and passengers passing through the vaccination center, average wait times throughout the day and overall completion metrics. |
| T85 | 423-466 | Sentence | denotes | An example of this can be seen in Figure 6. |