Q15, run 2026-11-06-0206-sonnet

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How many research works appeared in Ocean Sensing Letters (S02) in 2024?

Tests: Document types: the erratum W05 and the front matter W10 are not research output.

Expected: count = 25

❌ R1 csv run 1 graded by code

26.

JSON: {"count": 26}

Why: count: expected 25, got 26

❌ R1 csv run 2 graded by code

26, including the retracted W520 and W922.

JSON: {"count": 26}

Why: count: expected 25, got 26

❌ R1 csv run 3 graded by code

27 research works in S02 in 2024, including the retracted W520 and W922.

JSON: {"count": 27}

Why: count: expected 25, got 27

❌ R1 csv run 4 graded by code

24.

JSON: {"count": 24}

Why: count: expected 25, got 24

✅ R1 csv run 5 graded by code

25.

JSON: {"count": 25}

✅ R3 csv+padding run 1 graded by code

25.

JSON: {"count": 25}

❌ R3 csv+padding run 2 graded by code

27, including the retracted W520 and W922.

JSON: {"count": 27}

Why: count: expected 25, got 27

❌ R3 csv+padding run 3 graded by code

27 research works in S02 in 2024. For example W12, W21, W28 and W922. The 2024 editorial, errata and front matter (W418, W5, W949, W10) are excluded.

JSON: {"count": 27}

Why: count: expected 25, got 27

❌ R3 csv+padding run 4 graded by code

27. These are the ART and REV records in S02 for 2024; W520 and W922 are retracted but counted.

JSON: {"count": 27}

Why: count: expected 25, got 27

❌ R3 csv+padding run 5 graded by code

27. This includes the retracted W520 and W922.

JSON: {"count": 27}

Why: count: expected 25, got 27

✅ R4 csv+markdown run 1 graded by code

25 research works in S02 in 2024.

JSON: {"count": 25}

✅ R4 csv+markdown run 2 graded by code

25.

JSON: {"count": 25}

✅ R4 csv+markdown run 3 graded by code

25.

JSON: {"count": 25}

✅ R4 csv+markdown run 4 graded by code

25 research works in S02 in 2024. W520 and W922 are retracted, and W05, W10, W418 and W949 are not research output.

JSON: {"count": 25}

✅ R4 csv+markdown run 5 graded by code

25 research works in S02 in 2024.

JSON: {"count": 25}

✅ R5 csv+ontology run 1 graded by code

25.

JSON: {"count": 25}

❌ R5 csv+ontology run 2 graded by code

24.

JSON: {"count": 24}

Why: count: expected 25, got 24

✅ R5 csv+ontology run 3 graded by code

25.

JSON: {"count": 25}

✅ R5 csv+ontology run 4 graded by code

25.

JSON: {"count": 25}

✅ R5 csv+ontology run 5 graded by code

25.

JSON: {"count": 25}

❌ R10 executed run 1 graded by code

23.

JSON: {"count": 23}

Why: count: expected 25, got 23

❌ R10 executed run 2 graded by code

23 research works in S02 in 2024.

JSON: {"count": 23}

Why: count: expected 25, got 23

✅ R10 executed run 3 graded by code

25 research works.

JSON: {"count": 25}

❌ R10 executed run 4 graded by code

24 research works in S02 in 2024.

JSON: {"count": 24}

Why: count: expected 25, got 24

✅ R10 executed run 5 graded by code

25 research works in S02 in 2024.

JSON: {"count": 25}