Accuracy, with the cases we get wrong
Every figure is computed from a raw count and a sample size, with a Wilson score interval. A point estimate without its interval and its n is a claim about a population made from a sample, with the sample hidden.
Foldamer
| Mechanism | Metric | Estimate | 95% CI | n | Dataset |
|---|---|---|---|---|---|
| aggregation propensity | catch rate | 82.4% | 75.0–88.0% | n=131 | CPAD amyloid-class validation (this project; systematic sample by length 6-10, n=131) |
| aggregation propensity | miss rate | 17.6% | 12.0–25.0% | n=131 | CPAD amyloid-class validation (this project; systematic sample by length 6-10, n=131) |
| aggregation propensity | sup35 subset of misses | 56.5% | 36.8–74.4% | n=23 | CPAD amyloid-class validation (this project) -- fraction of the 23 misses specifically from the Sup35/ERF-3 polar-zipper prion domain |
| aromatic pi stacking | precision | 71.1% | 66.7–75.1% | n=453 | Yang, Yorke, Knowles & Buehler 2025, Science Advances, DOI 10.1126/sciadv.adv1971 |
| aromatic pi stacking | recall | 56.9% | 52.8–60.9% | n=566 | Yang, Yorke, Knowles & Buehler 2025, Science Advances, DOI 10.1126/sciadv.adv1971 |
| aromatic pi stacking | specificity | 67.8% | 63.1–72.2% | n=407 | Yang, Yorke, Knowles & Buehler 2025, Science Advances, DOI 10.1126/sciadv.adv1971 |
| ionic self complementary | precision | 100.0% | 70.1–100.0% | n=9 | Njirjak, Zuzic, Babic, Jankovic, Otovic, Kalafatovic & Mausa 2024, Nature Machine Intelligence, DOI 10.1038/s42256-024-00928-1 |
| ionic self complementary | recall | 31.0% | 17.3–49.2% | n=29 | Njirjak, Zuzic, Babic, Jankovic, Otovic, Kalafatovic & Mausa 2024, Nature Machine Intelligence, DOI 10.1038/s42256-024-00928-1 |
| ionic self complementary | specificity | 100.0% | 67.6–100.0% | n=8 | Njirjak, Zuzic, Babic, Jankovic, Otovic, Kalafatovic & Mausa 2024, Nature Machine Intelligence, DOI 10.1038/s42256-024-00928-1 |
Not externally benchmarked
These detectors contribute to verdicts and have no external benchmark. Their calibration field is null with a stated reason rather than an invented number. Listing only the measured ones would be advertising.
Calibrated against a small internal reference set, not yet externally benchmarked against a large labelled dataset, so there is no Wilson interval to publish.
No intervalCalibrated against a small internal reference set, not yet externally benchmarked against a large labelled dataset, so there is no Wilson interval to publish.
No intervalAgents with nothing published yet
No benchmarks published yet.
LiveNo benchmarks published yet.
BetaNo benchmarks published yet.
BuildingNo benchmarks published yet.
BuildingNo benchmarks published yet.
Planned