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Record W4406950918 · doi:10.1002/jmor.70027

Morphological Criteria for Staging Near‐Hatching Embryos of the Domesticated Mallard ( <i>Anas platyrhynchos</i> ) and Swan Goose ( <i>Anser cygnoides)</i>

2025· article· en· W4406950918 on OpenAlexaff
Bassel Arnaout, Kaylen Brzezinski, Benjamin Steventon, Daniel J. Field

Bibliographic record

VenueJournal of Morphology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsAnasGooseHatchingBiologyWaterfowlBreedAnseriformesAnatidaeZoologyEmbryoPrecocialEvolutionary biologyEcologyFisheryHabitat

Abstract

fetched live from OpenAlex

Studying avian embryology necessitates reliable and precise staging tables-descriptions of embryonic features appearing during development that are used to approximate the extent of embryonic development from fertilisation to hatching. Staging tables for waterfowl (Anseriformes) have previously been established based on morphological features from fertilisation to approximately 10 days before hatching. Embryonic changes over the final 10 days of pre-hatching development have also been documented and proposed as useful staging criteria. However, the reliability of these changes-which focus on the size of the bill and middle toes-as useful staging criteria across different waterfowl breeds has not been fully examined. To evaluate the reliability of these criteria for staging near-hatching embryos, we examined 27 embryos of Mallard (Anas platyrhynchos) and Swan Goose (Anser cygnoides). Comparisons with previously published data revealed that size variation within the same developmental stage across breeds is equivalent to within-breed variation across different stages, suggesting limited reliability of bill and middle toe size for staging waterfowl embryos. Consequently, we devised novel staging criteria for waterfowl based on four easily measurable morphological traits and show that these criteria allow correct stage identification with over 70% accuracy. Our results highlight the importance of quantifying staging accuracy for improving the reliability of embryonic staging tables.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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.

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

Citations3
Published2025
Admission routes1
Has abstractyes

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