From data to scent: validating an ensemble AI model that predicts novel insect odourant interactions.
- DOI
- 10.1007/s00894-026-06844-y
- Published
- 2026-07-17
- Container
- J Mol Model
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s00894-026-06844-y,
title = {From data to scent: validating an ensemble AI model that predicts novel insect odourant interactions.},
author = {Bird L and Owen B and Mare A and Huo W and Wilson S and Kralicek A and Good J and Carraher C.},
year = {2026},
journal = {J Mol Model},
doi = {10.1007/s00894-026-06844-y},
url = {https://doi.org/10.1007/s00894-026-06844-y}
}RIS
TY - JOUR TI - From data to scent: validating an ensemble AI model that predicts novel insect odourant interactions. AU - Bird L AU - Owen B AU - Mare A AU - Huo W AU - Wilson S AU - Kralicek A AU - Good J AU - Carraher C. PY - 2026 JO - J Mol Model DO - 10.1007/s00894-026-06844-y UR - https://doi.org/10.1007/s00894-026-06844-y ER -
APA
L, B., B, O., A, M., W, H., S, W., A, K., J, G., & C., C. (2026). From data to scent: validating an ensemble AI model that predicts novel insect odourant interactions.. J Mol Model. https://doi.org/10.1007/s00894-026-06844-y
Source records
- europe-pmc · retrieved 2026-09-26T10:36:03.547Z