Bias amplification in gender, gender identity, and geographical affiliation (2022)
Fonte: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Assuntos: PRECONCEITO, PESQUISA CIENTÍFICA
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CASCELLA, Michele e SILVA, Thereza Amélia Soares da. Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, v. 62, n. 24, p. 6297-6301, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00533. Acesso em: 17 nov. 2024.APA
Cascella, M., & Silva, T. A. S. da. (2022). Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, 62( 24), 6297-6301. doi:10.1021/acs.jcim.2c00533NLM
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533Vancouver
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533
