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updating model card

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  1. README.md +4 -0
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@@ -87,6 +87,10 @@ classification_pipeline("There are a lot of spelling mistakes and references tha
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  # prediction for an example review sentence not addressing negative statement
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  classification_pipeline("There are currently several activities on an international level that have identified the issue and activities are underway.")
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  ```
 
 
 
 
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  ## Citation
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  # prediction for an example review sentence not addressing negative statement
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  classification_pipeline("There are currently several activities on an international level that have identified the issue and activities are underway.")
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  ```
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+ ## Model Limitations
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+ - *Human Assessment Required*: This model should not be used for automatic classification of grant peer review reports without human oversight.
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+ - *Limited Training Data*: The model was fine-tuned on a limited sample of 2,500 annotated sentences. Therefore, its classification accuracy should be critically evaluated before deployment.
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+ - *Specific Training Data*: The training data consists of a random sample of SNSF grant peer review reports. As such, the model's external validity to other datasets may be limited.
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  ## Citation
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