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Record W1571858086 · doi:10.1002/ar.23117

A comparative analysis of chick culturing methods on skeletogenesis

2015· article· en· W1571858086 on OpenAlexafffund
Karyn Jourdeuil, Christine Hammer, Tamara A. Franz‐Odendaal

Bibliographic record

VenueThe Anatomical Record · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsMount Saint Vincent UniversityDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntramembranous ossificationEndochondral ossificationIn ovoBiologyAnatomyEmbryoCell biologyCartilage

Abstract

fetched live from OpenAlex

Chick embryos are desirable models for the study of developmental biology. Despite this, there are very few studies that examine the effect of different culturing methods on skeletogenesis, specifically, intramembranous and endochondral bones. This study presents a detailed description of these effects by comparing two different culturing methods: windowed (in the shell) eggs and ex-ovo or shell-less culturing to normal development. Using whole mount bone staining, we determined that there is no significant difference in the length of the ossified region of intramembranous and endochondral bones in control versus window cultured embryos. However, these bones are significantly underossified in shell-less embryos. Shell-less embryos also exhibit abnormalities in endochondral bones. Intramembranous bones, interestingly, are morphologically normal in shell-less embryos. This study provides the first detailed description of ossification in window (in-ovo) and shell-less (ex-ovo) cultured embryos compared with controls (in-ovo). Patterning of the skeleton is unaffected regardless of culturing method. We conclude that studies involving endochondral bones should not utilise shell-less culturing methods. This data has been lacking in the literature and will serve as an important resource for those using cultured chick embryos in the study of skeletogenesis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.383
Teacher spread0.320 · 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 designBench or experimental
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

Citations5
Published2015
Admission routes2
Has abstractyes

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