Card: list the false-positive rates this model's thresholds cover

README.md

@@ -56,7 +56,7 @@ Or in one call: `records = il.run(texts, det)`. `classify` and `extract` use Gem
 
 ## Thresholds
 
-`thresholds.json` holds this model's cuts at 0.1%, 0.5%, 1%, 2% and 5% false-positive rates, fitted on the 80,000 human
+`thresholds.json` holds this model's cuts at 0.1%, 0.5%, 1%, 2%, 5%, 10% and 20% false-positive rates, fitted on the 80,000 human
 documents of WildOutlines' `calibration` split: one global cut per rate, plus per-format and per-topic cuts. The package applies them. A cut
 fitted for one model does not transfer to another model's scores. For documents unlike English web text, fit cuts on
 human documents from your own domain with `idealens calibrate`.