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BioCLIP2 outperforms generic CLIP models by over 45% in recognizing Bangladeshi freshwater fish, revealing the critical role of nomenclature and context sensitivity in zero-shot learning.
Achieving a weighted F1 score of 0.9615 while also doubling pulmonary attribution containment metrics highlights a critical shift in how we assess CXR models.