Artificial intelligence-based data extraction for next generation risk assessment: Is fine-tuning of a large language model worth the effort? von Sonnenburg, Anna, van der Lugt, Benthe, Rehn, Johannes, Wittkowski, Paul, Bech, Karsten, Padberg, Florian, Eleftheriadou, Dimitra, Dobrikov, Todor, Bouwmeester, Hans, Mereu, Carla, Graf, Ferdinand, Kneuer, Carsten, Kramer, Nynke I., Blümmel, Tilmann

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Exploring the use of Artificial Intelligence (AI) for extracting and integrating data obtained through New Approach Methodologies (NAMs) for chemical risk assessment von Blümmel, Tilmann, Rehn, Johannes, Mereu, Carla, Graf, Ferdinand, Bazing, Fabian, Kneuer, Carsten, Sonnenburg, Anna, Wittkowski, Paul, Padberg, Florian, Bech, Karsten, Eleftheriadou, Dimitra, Lugt, Benthe, Kramer, Nynke, Bouwmeester, Hans, Dobrikov, Todor

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Review of state‐of‐the‐art AI tools and methods for screening, extracting and evaluating NAMs literature in the context of chemical risk assessment von Blümmel, Tilmann, Rehn, Johannes, Mereu, Carla, Graf, Ferdinand, Kneuer, Carsten, Wittkowski, Paul, Sonnenburg, Anna, Moore, Anthony, Bech, Karsten, Lugt, Benthe, Bouwmeester, Hans, Kramer, Nynke, Dobrikov, Todor

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