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Article title
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Abstract
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Keywords
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Introduction
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Materials and methods
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Effect sizes
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Bare unpooled effect sizes
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Controlled unpooled effect sizes
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Bare pooled effect sizes
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Controlled pooled effect sizes
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Effect size buckets
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Plots and correlations
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Results
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Type 1 correction analysis
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Levels analysis
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Effect sizes by 2d
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Effect sizes by categories
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Pooled versus unpooled and bare versus controlled effect sizes
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Conclusions and discussion
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Pooled versus unpooled and bare versus controlled effect sizes
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Statistical significance
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Type 1 error corrections
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Diagnosability
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Differentiation below diagnosability, subspecies, and the 50% and 75% tests
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Diagnosis based on actual data
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Adapting
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Amendments to the method
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“Hard cut-offs” in existing models of species rank and their elimination
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Note on
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A new universal system for measuring differentiation
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A new universal formula to determine taxonomic rank of allopatric populations using continuous variables
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Example of using the test: Myrmeciza antbirds
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What sorts of scores are good enough for assessing species and subspecies rank
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Acknowledgments
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References