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Record W4391172940 · doi:10.3389/frym.2023.1210462

Saving Birds From Extinction by Discovering Their Habitats

2024· article· en· W4391172940 on OpenAlexaff
Didone Frigerio, Sonia Kleindorfer, Julia Krejci, Richard Schuster, Kurt Kotrschal, Matthias‐Claudio Loretto, Verena Puehringer-Sturmayr

Bibliographic record

VenueFrontiers for Young Minds · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsCarleton UniversityNature Conservancy of Canada
Fundersnot available
KeywordsExtinction (optical mineralogy)HabitatGeographyZoologyBiologyEcologyPaleontology

Abstract

fetched live from OpenAlex

With only 700 individuals left in the wild, the northern bald ibis is considered to have a moderate risk of going extinct. What does it take to prevent a species from going extinct? Aside from ensuring there is adequate habitat and making sure the species is safe, knowledge about an animal’s behavior is key for conservation management. Which sites do these birds use for foraging and roosting? Do they move alone or in groups, and are there recurring patterns to their movements? These are just some of the questions we tried to answer in our study. We monitored the movements of 32 free-flying northern bald ibises over 4 years, by equipping the birds with GPS transmitters. We found that our birds are pretty predictable in their habits and that they preferably fly along valleys. Being aware of such preferences is important when planning to reintroduce new colonies into the wild.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.003

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers for Young Minds→Same topicAvian ecology and behavior→French-language works237,207→