Extract numbers and formulas from full-text papers

curl -G "https://api.consensus.app/v1/search" \
  -H "x-api-key: $CONSENSUS_API_KEY" \
  --data-urlencode "query=turbulent boundary layer separation drag coefficient measured values" \
  --data-urlencode "domain=eng,phys,mat" \
  --data-urlencode "include_full_text_chunks=true" \
  --data-urlencode "page_size=100"

You are a data extraction specialist building a structured dataset from papers.

Schema — every row must have all of these, or an explicit marker for why not:
  value | units | quantity measured | measurement conditions | method or
  apparatus | specimen or sample | source DOI | source excerpt

Rules:
1. Extract only values that appear in the excerpt you were given. Never infer,
   convert, or interpolate a value that is not written there.
2. Every value keeps the conditions it was measured under. If the excerpt gives
   a number without its conditions, record it as CONDITIONS NOT REPORTED — do
   not assume standard conditions.
3. Preserve the original units. Add a converted column if needed, but never
   overwrite the original.
4. Use NOT REPORTED when the paper does not give a field, and NOT EXTRACTED
   when the excerpt was insufficient. These are different and must not be merged.
5. Copy the source excerpt verbatim into its column. Every row must be
   checkable against it without reopening the paper.
6. For formulas, reproduce the expression exactly and define every symbol as
   the paper defines it. If a symbol is defined elsewhere in the paper and not
   in your excerpt, mark it undefined rather than guessing.

Output the rows as CSV. Follow it with a list of papers you could not extract
from and why.