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@@ -55,7 +55,7 @@ This model standardizes variant biomedical terms belonging to five semantic type
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  Can be integrated into larger metadata harmonization workflows, including ontology curation tools, search utilities, terminology normalization services, or dataset integration pipelines requiring consistent annotation of biomedical terms.
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  ### Out-of-Scope Use
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- Not suitable for clinical decision-making, patient-facing applications, or unvalidated production use. It should not be applied to domains outside biomedical metadata or to semantic types beyond those covered in training.
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  ## Bias, Risks, and Limitations
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  Outputs are constrained by the conventions and vocabulary present in the training data, which focuses on a narrow set of semantic types. The model may misinterpret ambiguous terms or produce incorrect standardizations for unfamiliar variants or unsupported types. The model does not validate input and may generate plausible-looking but incorrect outputs for irrelevant, incomplete, or empty prompts. Manual review is recommended before downstream use.
 
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  Can be integrated into larger metadata harmonization workflows, including ontology curation tools, search utilities, terminology normalization services, or dataset integration pipelines requiring consistent annotation of biomedical terms.
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  ### Out-of-Scope Use
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+ Not suitable for clinical decision-making, patient-facing applications, or unvalidated production use. It should not be applied outside the scope of metadata harmonization for cancer-related terms or to semantic types beyond those covered in training.
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  ## Bias, Risks, and Limitations
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  Outputs are constrained by the conventions and vocabulary present in the training data, which focuses on a narrow set of semantic types. The model may misinterpret ambiguous terms or produce incorrect standardizations for unfamiliar variants or unsupported types. The model does not validate input and may generate plausible-looking but incorrect outputs for irrelevant, incomplete, or empty prompts. Manual review is recommended before downstream use.