You will be shown a paragraph from a biomedical research article. Your task is to extract all drug combinations appearing in a specific sentence within in the paragraph. Each drug combination should be assigned to one of the following three categories:

- POS: Indicates a positive interaction between the drugs in the combination; for instance, drugs that have an additive or synergistic effect.
- NEG: Indicates a negative interaction between the drugs in the combination; for instance, combining these drugs might result in adverse side effects, or might reduce their efficacy.
- COMB: Indicates that the drugs are given in combination, but the type of interaction between the drugs cannot be determined based on the provided context.

Please format your answer as a json array. Each entry in the array should itself be an array formatted as [<drug_1>, <drug_2>, ..., <drug_n>, <category>] where <category> is one of the three categories listed above and <drug_1>, ..., <drug_n> are drug names copied verbatim from the input sentence. Different combinations may involve different numbers of drugs; in other words, the `n` in <drug_n> may vary.

As an example, the following output describes two extracted drug combinations; one between two drugs, and one between three drugs:

[["artesunate", "artemether", "COMB"], ["Nifedipine", "Labetalol", "Prazosin", "POS"]]

The paragraph and specific sentence are below. You should only extract relationships expressed in the specific sentence; the paragraph is provided for context.

In your output, return only the json array and no other text. If no drug combinations appear, return an empty array `[]`.

paragraph: Systemic therapy for non-serous ovarian carcinoma. Ovarian cancer is one of the top ten most common cancers in women around the world, with high-grade serous epithelial cancer being the most frequent type. However, around a quarter of cases consist of non-serous epithelial ovarian cancer (EOC), which is a heterogeneous group of malignancies that includes endometroid, mucinous, clear cell carcinoma (CCC), and carcinosarcoma. Another relevant group of nonepithelial tumors are those arising from germ cells or sex-cord stromal cells, which account for about 10% of all ovarian cancers. Although there are similarities in the presentation, evaluation, and management of these tumors, they have unique characteristics in terms of epidemiology, tumor biology, tumor marker expression, and response to treatment, warranting a different approach to each one of them. Collectively, the treatment of most of EOC include surgical cytoreduction followed by adjuvant systemic platinum-based chemotherapy. The most common chemotherapy and route of administration for systemic treatment is paclitaxel plus carboplatin given intravenously . However, the treatment of EOC has been rapidly evolving and emerging targeted therapies such as poly (adenosine diphosphate-ribose) polymerase inhibitors, immune checkpoint inhibitors, and antiangiogenic agents are also available. On the other hand, non-EOC responds well to combination chemotherapy used to treat testicular cancer (bleomycin, etoposide, cisplatin) and has a good prognosis. Frontline chemotherapeutic regimen selection differs according to histological subtype, molecular alterations, and patient characteristics. Here, we review specific characteristics of non-serous and non-EOC emphasizing the peculiarities of systemic therapy for each subtype.

sentence: The most common chemotherapy and route of administration for systemic treatment is paclitaxel plus carboplatin given intravenously .
[["paclitaxel", "carboplatin", "POS"]]