Whose Truth Is Ground Truth?: Consequences of Label Choice on Machine Learning Models Predicting Depression.

Tonge N, Adams L

DOI: 10.21203/rs.3.rs-9488927/v1
Published: 2026 Jul 30
Container: Research square
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9488927/v1,
  title = {Whose Truth Is Ground Truth?: Consequences of Label Choice on Machine Learning Models Predicting Depression.},
  author = {Tonge N and Adams L},
  year = {2026},
  journal = {Research square},
  doi = {10.21203/rs.3.rs-9488927/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9488927/v1}
}

RIS

TY  - JOUR
TI  - Whose Truth Is Ground Truth?: Consequences of Label Choice on Machine Learning Models Predicting Depression.
AU  - Tonge N
AU  - Adams L
PY  - 2026
JO  - Research square
DO  - 10.21203/rs.3.rs-9488927/v1
UR  - https://doi.org/10.21203/rs.3.rs-9488927/v1
ER  -

APA

N, T., & L, A. (2026). Whose Truth Is Ground Truth?: Consequences of Label Choice on Machine Learning Models Predicting Depression.. Research square. https://doi.org/10.21203/rs.3.rs-9488927/v1

Source records

pubmed · retrieved 2026-09-25T14:46:51.047Z