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Record W4385934594 · doi:10.1093/ornithapp/duad026

Conservation of Marine Birds

2023· article· en· W4385934594 on OpenAlexaffabout
Ingrid L. Pollet

Bibliographic record

VenueOrnithological applications · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsAcadia University
Fundersnot available
KeywordsFisheryGeographyBiology

Abstract

fetched live from OpenAlex

Journal Article Conservation of Marine Birds Get access Conservation of Marine Birds by Lindsay Young and Eric Vander Werf. 2022. Academic Press. London, UK. ., $150.00 (softcover). ISBN 978-0-323-88539-3. $150.00 (eBook). ISBN: 978-0-323-88540-9 Ingrid L Pollet Ingrid L Pollet Department of Biology, Acadia University, Wolfville, Nova Scotia, Canada ipollet@yahoo.com https://orcid.org/0000-0001-7207-8294 Search for other works by this author on: Oxford Academic Google Scholar Ornithological Applications, Volume 125, Issue 4, 6 November 2023, duad026, https://doi.org/10.1093/ornithapp/duad026 Published: 27 July 2023

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.038
GPT teacher head0.274
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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

Citations34
Published2023
Admission routes2
Has abstractyes

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