Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.
- DOI
- 10.3390/insects15010076
- Published
- 2024 Jan 22
- Container
- Insects
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3390/insects15010076,
title = {Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.},
author = {van Dooremalen C and Ulgezen ZN and Dall'Olio R and Godeau U and Duan X and Sousa JP and Schäfer MO and Beaurepaire A and van Gennip P and Schoonman M and Flener C and Matthijs S and Claeys Boúúaert D and Verbeke W and Freshley D and Valkenburg DJ and van den Bosch T and Schaafsma F and Peters J and Xu M and Le Conte Y and Alaux C and Dalmon A and Paxton RJ and Tehel A and Streicher T and Dezmirean DS and Giurgiu AI and Topping CJ and Williams JH and Capela N and Lopes S and Alves F and Alves J and Bica J and Simões S and Alves da Silva A and Castro S and Loureiro J and Horčičková E and Bencsik M and McVeigh A and Kumar T and Moro A and van Delden A and Ziółkowska E and Filipiak M and Mikołajczyk Ł and Leufgen K and De Smet L and de Graaf DC},
year = {2024},
journal = {Insects},
doi = {10.3390/insects15010076},
url = {https://doi.org/10.3390/insects15010076}
}RIS
TY - JOUR TI - Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies. AU - van Dooremalen C AU - Ulgezen ZN AU - Dall'Olio R AU - Godeau U AU - Duan X AU - Sousa JP AU - Schäfer MO AU - Beaurepaire A AU - van Gennip P AU - Schoonman M AU - Flener C AU - Matthijs S AU - Claeys Boúúaert D AU - Verbeke W AU - Freshley D AU - Valkenburg DJ AU - van den Bosch T AU - Schaafsma F AU - Peters J AU - Xu M AU - Le Conte Y AU - Alaux C AU - Dalmon A AU - Paxton RJ AU - Tehel A AU - Streicher T AU - Dezmirean DS AU - Giurgiu AI AU - Topping CJ AU - Williams JH AU - Capela N AU - Lopes S AU - Alves F AU - Alves J AU - Bica J AU - Simões S AU - Alves da Silva A AU - Castro S AU - Loureiro J AU - Horčičková E AU - Bencsik M AU - McVeigh A AU - Kumar T AU - Moro A AU - van Delden A AU - Ziółkowska E AU - Filipiak M AU - Mikołajczyk Ł AU - Leufgen K AU - De Smet L AU - de Graaf DC PY - 2024 JO - Insects DO - 10.3390/insects15010076 UR - https://doi.org/10.3390/insects15010076 ER -
APA
C, V. D., ZN, U., R, D., U, G., X, D., JP, S., MO, S., A, B., P, V. G., M, S., C, F., S, M., D, C. B., W, V., D, F., DJ, V., T, V. D. B., F, S., J, P., M, X., Y, L. C., C, A., A, D., RJ, P., A, T., T, S., DS, D., AI, G., CJ, T., JH, W., N, C., S, L., F, A., J, A., J, B., S, S., A, A. D. S., S, C., J, L., E, H., M, B., A, M., T, K., A, M., A, V. D., E, Z., M, F., Ł, M., K, L., L, D. S., & DC, D. G. (2024). Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.. Insects. https://doi.org/10.3390/insects15010076
Source records
- pubmed · retrieved 2026-09-26T04:59:24.631Z