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Self-reported binary gender prediction from personality traits: Alignment between machine learning importance and classical effect sizes — Europe PMC PMID:42566394

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42566394
DOI: 10.1371/journal.pone.0355193
License (as archived): solo-consultazione
Archived: 2026-10-06T17:52:58.581Z
SHA-256 of the archived text: 002c2d6a4122c2ac2b42dbfe3524133b0e0b81c1aaa1ff224290e6bb217fff86
Stable URL of this page: https://metraipolis.com/documento/dc_773bd024a50d

How to cite

Self-reported binary gender prediction from personality traits: Alignment between machine learning importance and classical effect sizes — Europe PMC PMID:42566394 — Europe PMC (en), https://europepmc.org/article/MED/42566394 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_773bd024a50d (Metraipolis archive dc_773bd024a50d, sha256 002c2d6a4122c2ac2b42dbfe3524133b0e0b81c1aaa1ff224290e6bb217fff86)

BibTeX

@misc{dc773bd024a50d,
  title = {Self-reported binary gender prediction from personality traits: Alignment between machine learning importance and classical effect sizes — Europe PMC PMID:42566394},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42566394},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_773bd024a50d; sha256 002c2d6a4122c2ac2b42dbfe3524133b0e0b81c1aaa1ff224290e6bb217fff86},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42566394. Agents can read the archived copy with the MCP tool read_document.