Q24, run 2026-11-06-0206-haiku

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How many research works has Lena Vossberg (A09) authored?

Tests: Retractions: W23 is retracted.

Expected: count = 12

✅ R1 csv run 1 graded by code

12. A09's non-retracted ART/REV records; W23 and W1025 are retracted.

JSON: {"count": 12}

❌ R1 csv run 2 graded by code

13 research works: W20, W21, W22, W23, W203, W232, W268, W366, W417, W714, W802, W967, W1025.

JSON: {"count": 13}

Why: count: expected 12, got 13

❌ R1 csv run 3 graded by code

14 research works for A09. A103 ("L. Vossberg") shares the same ORCID and adds 4 more if merged.

JSON: {"count": 14}

Why: count: expected 12, got 14

❌ R1 csv run 4 graded by code

(no answer found)

Why: no structured answer

❌ R1 csv run 5 graded by code

(no answer found)

JSON: {"count": 14}

Why: count: expected 12, got 14

❌ R3 csv+padding run 1 graded by code

14 (W20, W21, W22, W23, W203, W232, W268, W366, W417, W714, W738, W802, W967, W1025).

JSON: {"count": 14}

Why: count: expected 12, got 14

❌ R3 csv+padding run 2 graded by code

14 research works.

JSON: {"count": 14}

Why: count: expected 12, got 14

❌ R3 csv+padding run 3 graded by code

14 research works for A09: W20, W21, W22, W23, W203, W232, W268, W366, W417, W714, W738, W802, W967, W1025.

JSON: {"count": 14}

Why: count: expected 12, got 14

❌ R3 csv+padding run 4 graded by code

14 research works (all ART/REV).

JSON: {"count": 14}

Why: count: expected 12, got 14

❌ R3 csv+padding run 5 graded by code

18. This is A09 plus A103, which share Lena Vossberg's ORCID.

JSON: {"count": 18}

Why: count: expected 12, got 18

❌ R4 csv+markdown run 1 graded by code

(no answer found)

Why: no structured answer

❌ R4 csv+markdown run 2 graded by code

(no answer found)

Why: no structured answer

❌ R4 csv+markdown run 3 graded by code

11 research works, person-level across A09 and A103 (same ORCID). W23 and W693 are retracted.

JSON: {"count": 11}

Why: count: expected 12, got 11

❌ R4 csv+markdown run 4 graded by code

(no answer found)

Why: no structured answer

❌ R4 csv+markdown run 5 graded by code

11. This covers A09 and A103 (L. Vossberg, same ORCID), excluding retracted W23, W693 and W1025, and STG works.

JSON: {"count": 11}

Why: count: expected 12, got 11

❌ R5 csv+ontology run 1 graded by code

(no answer found)

Why: no structured answer

✅ R5 csv+ontology run 2 graded by code

12. This is the person with ORCID …8073-7028 (A09 and A103): 9 under A09 and 3 under A103.

JSON: {"count": 12}

✅ R5 csv+ontology run 3 graded by code

12 research works by Lena Vossberg (A09, plus A103 with the same ORCID).

JSON: {"count": 12}

✅ R5 csv+ontology run 4 graded by code

12. A09 and A103 share ORCID 0000-0000-8073-7028. Excluded: W23 (retracted), W268 and W714 and W802 (STG), W693 (retracted) and W1025 (retracted).

JSON: {"count": 12}

✅ R5 csv+ontology run 5 graded by code

12 research works between A09 and A103 (same ORCID).

JSON: {"count": 12}

❌ R10 executed run 1 graded by code

11 research works. A09's research credits are W20, W21, W22, W203, W232, W366, W417, W478, W531, W686 and W967. W23 and W693 are excluded as not research output, and W1025 is excluded by retraction.

JSON: {"count": 11}

Why: count: expected 12, got 11

✅ R10 executed run 2 graded by code

12. A09's credits are on 15 works; W23 and W693 are excluded as not research output, and W1025 as retracted.

JSON: {"count": 12}

✅ R10 executed run 3 graded by code

12. A09 has 12 research works (W20, W21, W22, W203, W232, W366, W417, W478, W531, W686, W738, W967).

JSON: {"count": 12}

✅ R10 executed run 4 graded by code

12.
Lena Vossberg (A09) is credited on W20, W21, W22, W203, W232, W366, W417, W478, W531, W686, W738 and W967, all research output.

JSON: {"count": 12}

✅ R10 executed run 5 graded by code

12 research works for A09: W20, W21, W22, W203, W232, W366, W417, W478, W531, W686, W738, W967.

JSON: {"count": 12}