A thousand papers sorted, then graded
Stas Sorokin rebuilt Nutlope's Jev paper map pipeline: Jev sorts 1,000 AI papers into 24 topics, and Opus 5 grades the labels afterwards so the accuracy is checked rather than assumed.
CA clean typed decision with low volume or low value, or too vague to act on.3.41
Key facts
- Vertical
- Research & science
- Function
- Research & education
- Status
- Seen in the wild
- Volume
- occasional
- Value
- meaningful
- Risk
- moderate
- Evidence
- built and shown
- Flags
- check-fit
Source: https://madewithjev.com/builds/1000-papers-graded-by-opus
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “A thousand papers sorted, then graded”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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