Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204450045> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W3204450045 abstract "To evaluate the performance of gender detection tools that allow the uploading of files (e.g., Excel or CSV files) containing first names, are usable by researchers without advanced computer skills, and are at least partially free of charge.The study was conducted using four physician datasets (total number of physicians: 6,131; 50.3% female) from Switzerland, a multilingual country. Four gender detection tools met the inclusion criteria: three partially free (Gender API, NamSor, and genderize.io) and one completely free (Wiki-Gendersort). For each tool, we recorded the number of correct classifications (i.e., correct gender assigned to a name), misclassifications (i.e., wrong gender assigned to a name), and nonclassifications (i.e., no gender assigned). We computed three metrics: the proportion of misclassifications excluding nonclassifications (errorCodedWithoutNA), the proportion of nonclassifications (naCoded), and the proportion of misclassifications and nonclassifications (errorCoded).The proportion of misclassifications was low for all four gender detection tools (errorCodedWithoutNA between 1.5 and 2.2%). By contrast, the proportion of unrecognized names (naCoded) varied: 0% for NamSor, 0.3% for Gender API, 4.5% for Wiki-Gendersort, and 16.4% for genderize.io. Using errorCoded, which penalizes both types of error equally, we obtained the following results: Gender API 1.8%, NamSor 2.0%, Wiki-Gendersort 6.6%, and genderize.io 17.7%.Gender API and NamSor were the most accurate tools. Genderize.io led to a high number of nonclassifications. Wiki-Gendersort may be a good compromise for researchers wishing to use a completely free tool. Other studies would be useful to evaluate the performance of these tools in other populations (e.g., Asian)." @default.
- W3204450045 created "2021-10-11" @default.
- W3204450045 creator A5072092659 @default.
- W3204450045 date "2021-10-05" @default.
- W3204450045 modified "2023-10-06" @default.
- W3204450045 title "Performance of gender detection tools: a comparative study of name-to-gender inference services" @default.
- W3204450045 cites W1577520517 @default.
- W3204450045 cites W2007494019 @default.
- W3204450045 cites W2050990045 @default.
- W3204450045 cites W2162688898 @default.
- W3204450045 cites W2289548208 @default.
- W3204450045 cites W2415174015 @default.
- W3204450045 cites W2767112624 @default.
- W3204450045 cites W2796724225 @default.
- W3204450045 cites W2883284975 @default.
- W3204450045 cites W2884395366 @default.
- W3204450045 cites W2995486208 @default.
- W3204450045 cites W3023078578 @default.
- W3204450045 cites W3047953376 @default.
- W3204450045 cites W3119204758 @default.
- W3204450045 cites W4233492267 @default.
- W3204450045 doi "https://doi.org/10.5195/jmla.2021.1185" @default.
- W3204450045 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8485937" @default.
- W3204450045 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34629970" @default.
- W3204450045 hasPublicationYear "2021" @default.
- W3204450045 type Work @default.
- W3204450045 sameAs 3204450045 @default.
- W3204450045 citedByCount "44" @default.
- W3204450045 countsByYear W32044500452021 @default.
- W3204450045 countsByYear W32044500452022 @default.
- W3204450045 countsByYear W32044500452023 @default.
- W3204450045 crossrefType "journal-article" @default.
- W3204450045 hasAuthorship W3204450045A5072092659 @default.
- W3204450045 hasBestOaLocation W32044500451 @default.
- W3204450045 hasConcept C109359841 @default.
- W3204450045 hasConcept C136764020 @default.
- W3204450045 hasConcept C15744967 @default.
- W3204450045 hasConcept C23123220 @default.
- W3204450045 hasConcept C41008148 @default.
- W3204450045 hasConcept C71901391 @default.
- W3204450045 hasConcept C77805123 @default.
- W3204450045 hasConceptScore W3204450045C109359841 @default.
- W3204450045 hasConceptScore W3204450045C136764020 @default.
- W3204450045 hasConceptScore W3204450045C15744967 @default.
- W3204450045 hasConceptScore W3204450045C23123220 @default.
- W3204450045 hasConceptScore W3204450045C41008148 @default.
- W3204450045 hasConceptScore W3204450045C71901391 @default.
- W3204450045 hasConceptScore W3204450045C77805123 @default.
- W3204450045 hasIssue "3" @default.
- W3204450045 hasLocation W32044500451 @default.
- W3204450045 hasLocation W32044500452 @default.
- W3204450045 hasLocation W32044500453 @default.
- W3204450045 hasLocation W32044500454 @default.
- W3204450045 hasLocation W32044500455 @default.
- W3204450045 hasLocation W32044500456 @default.
- W3204450045 hasOpenAccess W3204450045 @default.
- W3204450045 hasPrimaryLocation W32044500451 @default.
- W3204450045 hasRelatedWork W1992952236 @default.
- W3204450045 hasRelatedWork W2003209439 @default.
- W3204450045 hasRelatedWork W2358319515 @default.
- W3204450045 hasRelatedWork W2497626292 @default.
- W3204450045 hasRelatedWork W2748952813 @default.
- W3204450045 hasRelatedWork W2899084033 @default.
- W3204450045 hasRelatedWork W2972592048 @default.
- W3204450045 hasRelatedWork W3037018281 @default.
- W3204450045 hasRelatedWork W4321854979 @default.
- W3204450045 hasRelatedWork W2944823289 @default.
- W3204450045 hasVolume "109" @default.
- W3204450045 isParatext "false" @default.
- W3204450045 isRetracted "false" @default.
- W3204450045 magId "3204450045" @default.
- W3204450045 workType "article" @default.