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Description: The objective of this study was to evaluate the performance of gender detection tools that accept at least one data file format (e.g. Excel or CSV), are usable by researchers without computer skills and are at least partially free of charge. Four gender detection tools met the inclusion criteria: three partially free (GenderAPI, NamSor and genderize.io) and one completely free (Wiki-Gendersort).

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