Q15, run 2026-11-05-1234-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 = 4

✅ R1 csv run 1 graded by code

4 (W12, W21, W28, W51).

JSON: {"count": 4}

✅ R1 csv run 2 graded by code

4: W12, W21, W28, W51. W05 is an erratum and W10 is front matter.

JSON: {"count": 4}

✅ R1 csv run 3 graded by code

4: W12, W21, W28, W51.

JSON: {"count": 4}

✅ R1 csv run 4 graded by code

4: W12, W21, W28, W51. I excluded W05 (ERR) and W10 (PTX).

JSON: {"count": 4}

❌ R1 csv run 5 graded by code

3. These are W12, W21 and W28.

JSON: {"count": 3}

Why: count: expected 4, got 3

✅ R2 rdf run 1 graded by code

4 (W12, W21, W28, W51). W05 is an erratum.

JSON: {"count": 4}

✅ R2 rdf run 2 graded by code

4. These are W12, W21, W28 and W51. W05 (ERR) and W10 (PTX) are excluded.

JSON: {"count": 4}

✅ R2 rdf run 3 graded by code

4: W12, W21, W28, W51.

JSON: {"count": 4}

✅ R2 rdf run 4 graded by code

4 (W12, W21, W28, W51). W05 and W10 are excluded by type.

JSON: {"count": 4}

✅ R2 rdf run 5 graded by code

4. These are W12, W21, W28 and W51.

JSON: {"count": 4}

✅ R6 rdf+ontology run 1 graded by code

4: W12, W21, W28, W51. W05 is an erratum and W10 is paratext.

JSON: {"count": 4}

✅ R6 rdf+ontology run 2 graded by code

4. These are W12, W21, W28 and W51.

JSON: {"count": 4}

✅ R6 rdf+ontology run 3 graded by code

4: W12, W21, W28, W51.

JSON: {"count": 4}

✅ R6 rdf+ontology run 4 graded by code

4: W12, W21, W28 and W51. W05 is an erratum.

JSON: {"count": 4}

✅ R6 rdf+ontology run 5 graded by code

4 (W12, W21, W28, W51).

JSON: {"count": 4}

✅ R5 csv+ontology run 1 graded by code

4. They are W12, W21, W28 and W51; W05 and W10 are not research types.

JSON: {"count": 4}

✅ R5 csv+ontology run 2 graded by code

4. The works are W12, W21, W28 and W51. W05 and W10 are not research output.

JSON: {"count": 4}

✅ R5 csv+ontology run 3 graded by code

4 (W12, W21, W28, W51).

JSON: {"count": 4}

✅ R5 csv+ontology run 4 graded by code

4. These are W12, W21, W28 and W51. W05 and W10 are an erratum and front matter.

JSON: {"count": 4}

✅ R5 csv+ontology run 5 graded by code

4: W12, W21, W28, W51. W05 is an erratum and W10 is paratext.

JSON: {"count": 4}

✅ R4 csv+markdown run 1 graded by code

4. They are W12, W21, W28 and W51. W05 and W10 are not research types.

JSON: {"count": 4}

✅ R4 csv+markdown run 2 graded by code

4: W12, W21, W28, W51. W05 and W10 are not research types.

JSON: {"count": 4}

✅ R4 csv+markdown run 3 graded by code

4: W12, W21, W28 and W51. W05 is an erratum and W10 is front matter.

JSON: {"count": 4}

✅ R4 csv+markdown run 4 graded by code

4 (W12, W21, W28, W51).

JSON: {"count": 4}

✅ R4 csv+markdown run 5 graded by code

4. They are W12, W21, W28 and W51. W05 and W10 are not research works.

JSON: {"count": 4}

✅ R3 csv+padding run 1 graded by code

4: W12, W21, W28, W51.

JSON: {"count": 4}

✅ R3 csv+padding run 2 graded by code

4. These are W12, W21, W28 and W51. W05 is ERR and W10 is PTX.

JSON: {"count": 4}

✅ R3 csv+padding run 3 graded by code

4. These are W12, W21, W28 and W51; W05 is an erratum and W10 front matter.

JSON: {"count": 4}

✅ R3 csv+padding run 4 graded by code

4 (W12, W21, W28, W51).

JSON: {"count": 4}

✅ R3 csv+padding run 5 graded by code

4 (W12, W21, W28, W51). The erratum W05 and the front matter W10 are not research.

JSON: {"count": 4}

✅ R10 executed run 1 graded by code

4. These are W12, W21, W28 and W51.

JSON: {"count": 4}

✅ R10 executed run 2 graded by code

4 (W12, W21, W28, W51). W03 is dated 2023.

JSON: {"count": 4}

✅ R10 executed run 3 graded by code

4. These are W12, W21, W28 and W51.

JSON: {"count": 4}

✅ R10 executed run 4 graded by code

4. These are W12, W21, W28 and W51.

JSON: {"count": 4}

✅ R10 executed run 5 graded by code

4 (W12, W21, W28, W51).

JSON: {"count": 4}