Q37, run 2026-11-04-2035-haiku

← back to the run

Which institution is W70 credited to?

Tests: Local rule: only the affiliation listed last counts.

Expected: institution = I06

❌ R1 csv run 1 graded by code

I04 (affil_seq 1 for A08), with I06 also listed as a second affiliation (affil_seq 2).

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 2 graded by code

I04. **Reasoning:** W70 lists A08 twice, at I04 (affil_seq 1) and I06 (affil_seq 2), so I06 is the secondary affiliation.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 3 graded by code

I04. W70's author A08 is credited to I04 at affil_seq 1 and also to I06 at affil_seq 2.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 4 graded by code

I04 (Tessel Laboratory). W70 also lists I06 as a second affiliation.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 5 graded by code

I04, the primary affiliation (affil_seq 1). I06 is listed as a second affiliation (affil_seq 2).

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

✅ R10 executed run 1 graded by code

I06 (Halloran Institute for Coastal Studies). The only W70 credit is A08 at I06.

JSON: {"institution": "I06"}

✅ R10 executed run 2 graded by code

I06 (Halloran Institute for Coastal Studies). W70's only credit is A08 at I06.

JSON: {"institution": "I06"}

✅ R10 executed run 3 graded by code

I06 (Halloran Institute for Coastal Studies). A08 is credited to I06 on W70.

JSON: {"institution": "I06"}

✅ R10 executed run 4 graded by code

I06 (Halloran Institute for Coastal Studies), via A08 in credits.csv.

JSON: {"institution": "I06"}

✅ R10 executed run 5 graded by code

I06. W70's only credit is A08 at I06.

JSON: {"institution": "I06"}