| Method: CNN | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.75 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(CNN), column(Des-Mut) |
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| Configuration: ESM-1b (mean) | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.59 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM-1b (mean) on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(ESM-1b (mean)), column(Des-Mut) |
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| Configuration: ESM-1b (mut mean) | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.7 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM-1b (mut mean) on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(ESM-1b (mut mean)), column(Des-Mut) |
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| Configuration: ESM-1v (mean) | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.44 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM-1v (mean) on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(ESM-1v (mean)), column(Des-Mut) |
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| Configuration: ESM-1v (mut mean) | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.71 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM-1v (mut mean) on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(ESM-1v (mut mean)), column(Des-Mut) |
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| Configuration: ESM-untrained (mean) | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.34 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM-untrained (mean) on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(ESM-untrained (mean)), column(Des-Mut) |
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| Configuration: ESM-untrained (mut mean) | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.64 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceESM-untrained (mut mean) on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(ESM-untrained (mut mean)), column(Des-Mut) |
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| Method: Levenshtein | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | -0.07 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLevenshtein on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(Levenshtein), column(Des-Mut) |
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| Method: Ridge | Task: FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Dataset subset: FLIP AAV, Des-Mut split (FLIP split) | 0.53 spearman correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRidge on FLIP AAV-DES-MUT: AAV fitness prediction, Des-Mut split Trained on the split's training set with ten percent held out for validation, scored on its test set. Aggregation: Not reported flip primary benchmark evidence · Table 5, row(Ridge), column(Des-Mut) |
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