| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T187 |
0-261 |
Sentence |
denotes |
The boxplots of the five evaluation indicators, the F1 score (Fig. 5a, d, g), the kappa coefficient (Fig. 5b, e, h), and the specificity (Fig. 5c, f, i) of experiments A–C are shown in Fig. 5, and the precision and sensitivity are shown in Supplementary Fig. 2. |
| T188 |
262-429 |
Sentence |
denotes |
A bootstrapping method40 was used to calculate the empirical distributions, and McNemar’s test41 was used to analyze the differences between the CNNCF and the experts. |
| T189 |
430-645 |
Sentence |
denotes |
The p-values of the McNemar’s test (Supplementary Tables 1–3) for the five evaluation indicators were all 1.0, indicating no statistically significant difference between the CNNCF results and the expert evaluations. |
| T190 |
646-769 |
Sentence |
denotes |
Fig. 5 Boxplots of the F1 score, kappa score, and specificity for the CNNCF and expert results for COVID-19 identification. |
| T191 |
770-859 |
Sentence |
denotes |
NC indicates that the positive case is a COVID-19 case, and the negative case is *Normal. |
| T192 |
860-944 |
Sentence |
denotes |
CI indicates that the positive case is COVID-19, and the negative case is influenza. |
| T193 |
945-1399 |
Sentence |
denotes |
Bootstrapping is used to generate n = 1000 resampled independent validation sets for the XVS and the CTVS. a F1 score for the NC using X-data. b Kappa score for the NC using X-data. c Specificity for the NC using X-data. d F1 score for the NC using CT-data. e Kappa score for the NC using CT-data. f Specificity for the NC using CT-data. g F1 score for the CI using CT-data. h Kappa score for the CI using CT-data. i Specificity for the CI using CT-data. |
