Evidence map›Paper›PMID 41426644›Full record

ArticleEcology and evolution2025

Improved Prediction of Eurasian Beaver Gnawing Preferences in Riparian Habitats: A Machine Learning Approach.

Giovanni Trentanovi, Emanuele Santi, Emiliano Mori, Andrea Viviano, Alessio Giovannelli, Maria Laura Traversi, Francesco Sarnari

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Giovanni TrentanoviResearch Institute on Terrestrial Ecosystems-National Research Council (IRET-CNR) Sesto Fiorentino FI Italy.
Emanuele SantiInstitute of Applied Physics-National Research Council (IFAC-CNR) Firenze Italy.ORCID https://orcid.org/0000-0003-1882-6321
Emiliano MoriResearch Institute on Terrestrial Ecosystems-National Research Council (IRET-CNR) Sesto Fiorentino FI Italy.
Andrea VivianoResearch Institute on Terrestrial Ecosystems-National Research Council (IRET-CNR) Sesto Fiorentino FI Italy.
Alessio GiovannelliResearch Institute on Terrestrial Ecosystems-National Research Council (IRET-CNR) Sesto Fiorentino FI Italy.
Maria Laura TraversiResearch Institute on Terrestrial Ecosystems-National Research Council (IRET-CNR) Sesto Fiorentino FI Italy.
Francesco SarnariIstitute of Bio-Imaging and Complex Biological Systems-National Research Council (IBSBC-CNR) Cefalù PA Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the impact of Eurasian beavers (

Indexed as

animal behaviorCastor fiberdeep learningmodel comparisonrandom forestriparian woodlands

Identifiers

PMID41426644
PMCPMC12711435

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.