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Record W4386714669 · doi:10.1007/s10344-023-01724-9

Correction to: Feather stable isotopes (δ2 Hf and δ13Cf) identify the Sub-Saharan wintering grounds of turtle doves from Europe

2023· article· en· W4386714669 on OpenAlexaff
Melanie Marx, Yvonne R. Schumm, Kevin J. Kardynal, Keith A. Hobson, Gregorio Rocha, Pavel Zehtindjiev, Dimitrios E. Bakaloudis, Benjamin Metzger, Jacopo G. Cecere, Fernando Spina, Marco Cianchetti‐Benedetti, Sylke Frahnert, Christian C. Voigt, Hervé Lormée, Cyril Éraud, Petra Quillfeldt

Bibliographic record

VenueEuropean Journal of Wildlife Research · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsFeatherTurtle (robot)Stable isotope ratioZoologyGeographyEcologyBiologyPhysicsNuclear physics

Abstract

fetched live from OpenAlex

ysis with δ 13 C f as described in Marx et al. (2022) to determine possible regions of moult origin of turtle doves.The corrected assignment to origin analysis results, the original assignment in Marx et al. (2022) and the difference between the two origin rasters are shown in Fig. 1.Due to minimal differences between the two assignment rasters, we did not undertake additional analyses as in Marx et al. (2022) and have not changed interpretations of our data.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.055
GPT teacher head0.327
Teacher spread0.272 · 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 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
Published2023
Admission routes1
Has abstractyes

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