ArticleZooKeys2026
Extending GroupStruct2: a Bayesian and machine-learning framework for testing taxonomic hypotheses using morphometric data.
Article in ZooKeys, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
2 authors.
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Abstract
Despite considerable advances in statistical methods, taxonomic delimitation using morphometric data (morphometric delimitation) has not significantly progressed beyond the use of simple summary statistics or univariate tests to quantify differences among predefined operational taxonomic units (OTUs). These methods typically rely on visual inspection of graphs or
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