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  For a comprehensive breakdown of the model's performance, including Overall Metrics, Metrics per Category across both validation and test sets and Metrics per Funder across the validation set, please refer to the detailed evaluation spreadsheet included in this repository.
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- **Download/View the Evaluation Results](https://huggingface.co/NIHRDataInsights/HRCSHealthCategories/resolve/main/evaluation/health_category_rac_evaluation_results.xlsx)** *(Located in the `Files and versions` tab of this repository)*.
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  ## Intended use
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  This model is intended for:
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  This demonstrates that the model supports hybrid workflows in which uncertain cases are reviewed by experts while confident predictions can be automated.
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  ## Citation
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- NIHR, 2026. HRCS Health Category Classifier (BiomedBERT, DAPT). [Model]. Developed by Banks, A., Baghurst, D., Wang, K. and Downes, N. Available from: https://huggingface.co/NIHRDataInsights/HRCSHealthCategories
 
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  For a comprehensive breakdown of the model's performance, including Overall Metrics, Metrics per Category across both validation and test sets and Metrics per Funder across the validation set, please refer to the detailed evaluation spreadsheet included in this repository.
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+ **Download/View the Evaluation Results](https://huggingface.co/NIHRDataInsights/HRCSResearchActivityCodes/resolve/main/evaluation/health_category_rac_evaluation_results.xlsx)** *(Located in the `Files and versions` tab of this repository)*.
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  ## Intended use
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  This model is intended for:
 
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  This demonstrates that the model supports hybrid workflows in which uncertain cases are reviewed by experts while confident predictions can be automated.
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  ## Citation
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+ NIHR, 2026. HRCS Research Activity Classifier (BiomedBERT, DAPT). [Model]. Developed by Banks, A., Baghurst, D., Wang, K. and Downes, N. Available from: https://huggingface.co/NIHRDataInsights/HRCSHealthCategories