Q37, run 2026-11-06-0206-haiku

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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. W70's author A08 is affiliated with I04 (first) and I06 (second).

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 2 graded by code

I04 and I06. W70's author A08 is credited to both, and both sit under I02.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 3 graded by code

I04. W70 lists I04 at affil_seq 1 and I06 at affil_seq 2.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 4 graded by code

I04. W70 has two affiliation rows for A08, I04 (seq 1) and I06 (seq 2), so I06 is also credited.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R1 csv run 5 graded by code

(no answer found)

JSON: {"institution": "I04, I06"}

Why: institution: expected I06, got I04, I06

❌ R3 csv+padding run 1 graded by code

W70 is credited to I04 (Tessel Laboratory) and I06 (Halloran Institute), both by author A08.

JSON: {"institution": "I04; I06"}

Why: institution: expected I06, got I04; I06

❌ R3 csv+padding run 2 graded by code

I04 and I06. A08 is credited to both the Tessel Laboratory and the Halloran Institute.

JSON: {"institution": "I04, I06"}

Why: institution: expected I06, got I04, I06

❌ R3 csv+padding run 3 graded by code

I04 and I06. A08 is affiliated with both on W70.

JSON: {"institution": "I04 and I06"}

Why: institution: expected I06, got I04 and I06

❌ R3 csv+padding run 4 graded by code

I04 (Tessel Laboratory). W70 also lists I06 (Halloran), a second affiliation of the same author.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

❌ R3 csv+padding run 5 graded by code

I04, the primary affiliation at affil_seq 1. I06 is also listed at affil_seq 2.

JSON: {"institution": "I04"}

Why: institution: expected I06, got I04

✅ R4 csv+markdown run 1 graded by code

I06. W70's last-listed affiliation (sequence 2) is I06, the affiliated institute (AFF).

JSON: {"institution": "I06"}

❌ R4 csv+markdown run 2 graded by code

(no answer found)

Why: no structured answer

✅ R4 csv+markdown run 3 graded by code

I06. W70's author A08 lists I04 first and I06 last, and the last-listed affiliation is the one credited.

JSON: {"institution": "I06"}

✅ R4 csv+markdown run 4 graded by code

I06. W70's author A08 lists I04 first and I06 second, and only the last-listed affiliation counts.

JSON: {"institution": "I06"}

✅ R4 csv+markdown run 5 graded by code

I06. W70 lists I04 then I06, and the last-listed affiliation counts.

JSON: {"institution": "I06"}

❌ R5 csv+ontology run 1 graded by code

(no answer found)

Why: no structured answer

✅ R5 csv+ontology run 2 graded by code

I06. For A08 on W70, the last-listed affiliation (seq 2) is I06.

JSON: {"institution": "I06"}

✅ R5 csv+ontology run 3 graded by code

I06. W70's last-listed affiliation (seq 2) is I06.

JSON: {"institution": "I06"}

✅ R5 csv+ontology run 4 graded by code

I06. W70 lists A08 at I04 (seq 1) and I06 (seq 2), and the last-listed affiliation is the one credited.

JSON: {"institution": "I06"}

✅ R5 csv+ontology run 5 graded by code

I06, because A08's last-listed affiliation on W70 is I06.

JSON: {"institution": "I06"}

✅ R10 executed run 1 graded by code

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

JSON: {"institution": "I06"}

✅ R10 executed run 2 graded by code

I06 (Halloran Institute), via A08.

JSON: {"institution": "I06"}

✅ R10 executed run 3 graded by code

I06 (Halloran Institute for Coastal Studies). W70 credits only A08 at I06.

JSON: {"institution": "I06"}

✅ R10 executed run 4 graded by code

I06.
W70 is credited to A08 at I06.

JSON: {"institution": "I06"}

✅ R10 executed run 5 graded by code

I06 (Halloran Institute for Coastal Studies), per the single credit row A08 / I06.

JSON: {"institution": "I06"}