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Record W4408868473 · doi:10.3389/frsc.2025.1554676

Corrigendum: The challenges of urban street trees and how to overcome them

2025· erratum· en· W4408868473 on OpenAlexaff
Monika Egerer, Julia M. Schmack, Kevin Vega, Camilo Ordóñez, Susanne Raum

Bibliographic record

VenueFrontiers in Sustainable Cities · 2025
Typeerratum
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTree (set theory)Transport engineeringEnvironmental planningGeographyComputer scienceEngineeringMathematics

Abstract

fetched live from OpenAlex

PAGE \* Arabic \* MERGEFORMAT 3In the published article, the reference for (Fahey et al., 2013) was incorrectly written as: Fahey, T. J., Battles, J. J., Wilson, G. F., Goodale, C. L., Hamburg, S. P., and Ollinger, S. V. (2013). The human and biophysical effects of climate change on US forests. Bio Sci. 63, 757-765. doi: 10.1525Sci. 63, 757-765. doi: 10. /bio.2013.63.9.6 .63.9.6 It should be: Fahey, R. T., Bialecki, M. B., & Carter, D. R. (2013). Tree Growth and Resilience to Extreme Drought Across an Urban Land-use Gradient. Arboriculture & Urban Forestry, 39(6), 279-285. https://doi.org/10.48044/jauf.2013.036 In the published article, the reference for (Farell et al., 2022) was incorrectly written as: Farell, C., Sisinni, L., Paquette, A., Messier, C., and LeBlanc, A. (2022). Linking the drivers of tree selection with the social and ecological functions of urban forests. Landsc. Urban Plan. 221:104188. doi: 10.1016Plan. 221:104188. doi: 10. /j.landurbplan.2022.104188 .104188 It should be:Farrell, C., Livesley, S.J., Arndt, S.K., Beaumont, L., Burley, H., Ellsworth, D., Esperon-Rodriguez, M., Fletcher, T.D., Gallagher, R., Ossola, A. (2022). Can we integrate ecological approaches to improve plant selection for green infrastructure? Urban Forestry & Urban Greening 76 127732. https://doi.org/10.1016/j.ufug.2022.127732 In the published article, the reference for (Fernandes et al., 2019) was incorrectly written as:Fernandes, G. W., Lara-Romero, C., Malaquias, J. V., Oliveira, L. C., and Espirito-Santo, M. M. (2019). Street trees: perceptions and practices of inhabitants of the Montes Claros, MG, Brazil. Urban For. Urban Green. 41, 58-63. doi: 10.1016Green. 41, 58-63. doi: 10. /j.ufug.2019.02.012 .02.012 It should be: 2022). Assessing urban park street tree ecosystem services and their influence on residents' well-being. Urban For. Urban Green. 69:127568. doi: 10.1016Green. 69:127568. doi: 10. /j.ufug.2022.127568 .127568 It should be:Tan, X., Shibata, S., 2022. Factors influencing street tree health in constrained planting spaces: Evidence from Kyoto City, Japan. Urban Forestry and Urban Greening 67, 127416. https://doi.org/10.1016/j.ufug.2021.127416. This is already in the references (see below); thus the reference can be deleted.In the published article, the reference for (Sjöman et al., 2012) was incorrectly written as: Sjöman, H., and Busse Nielsen, A. (2012). The effect of different soil types and soil volumes on performance of urban trees in paved areas. Urban For. Urban Green. 11, 425-431. doi: 10.1016Green. 11, 425-431. doi: 10. /j.ufug.2012.07.004 .07.004 It should be: Tabassum, M., Rafiq, M., Zhu, D., Wang, Y., Luo, Y., Yuan, Q., et al. (2021). Urban trees moderate street-level microclimate and enhance pedestrian thermal comfort during heatwave periods. Build. Environ. 200:107999. doi: 10.1016/j.buildenv.2021.107999 It should be:

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.221
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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