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Ambient air pollution and pregnancy outcomes: A comprehensive review and identification of environmental public health challenges

Klepac, Petra, Locatelli, Igor, Korošec, Sara, Künzli, Nino, Kukec, Andreja·2018·Environmental Research

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Metadata

Authors
Klepac, P., Locatelli, I., Korošec, S., Künzli, N., & Kukec, A.
Venue
Environmental Research
Publisher
Elsevier BV
Published
2018-11
Volume
167
Pages
144-159
ISSN
0013-9351
Cited by
336
References
13
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Ambient air pollution and pregnancy outcomes: A comprehensive review and identification of environmental public health challenges. https://app.cochat.ai/papers/10.1016/j.envres.2018.07.008
The paper
Klepac, P., Locatelli, I., Korošec, S., Künzli, N., & Kukec, A. (2018). Ambient air pollution and pregnancy outcomes: A comprehensive review and identification of environmental public health challenges. Environmental Research. https://doi.org/10.1016/j.envres.2018.07.008

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.