A deep-learning automated image recognition method for measuring pore patterns in closely related bolivinids and calibration for quantitative nitrate paleo-reconstructions.

Sci Rep · 2023 · PMC10638366 · PMID 37949926

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closest p · 0.0× alpha

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highly significantp < 0.0001actually significant

There was a highly significant linear correlation between the pore density of B. spissa and B. subadvena from Peru, Costa Rica, and Sagami Bay (R 2 = 0.93, p < 0.0001, Fig. 4 b).

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