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Discovering Interactions Present During the Growth and Development of a Craniofacial Bone

2010· article· en· W2289833223 on OpenAlexafffund
Kellie Lynn Duench, Tamara A. Franz‐Odendaal

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsMount Saint Vincent UniversitySaint Mary's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntramembranous ossificationEndochondral ossificationAnatomyBiologyPatchedMesenchymeCalvariaOssiclesCartilageCraniofacialBone morphogenetic proteinCell biologyOssicleHedgehogMiddle earGeneticsSignal transductionGene

Abstract

fetched live from OpenAlex

The study of skeletal (bone and cartilage) development includes the investigation of intramembranous bones of the head and facial skeleton as well as endochondral bones (e.g. long bones) of the body. The development of skeletal tissues often relies on an interaction between the mesenchyme and the epithelium. Bone is formed by signalling interactions between these two tissues. Often these signals experience cross‐talk, where one signal is inducing or inhibiting another signal. When it comes to scleral ossicles (an example of intramembranous bone), it has recently been shown by our lab that the Hedgehog gene family is involved in its development. Using whole mount in situ hybridization further investigation was performed to discover if multiple members of the Hedgehog family are involved, and also to determine the location and distribution of the Patched (Ptc) receptor. Bead implantations using a common Bone morphogenetic protein inhibitor, noggin, were performed to determine the involvement of the BMPs during ossicle development. The relationship and interactions between these two genes families ( BMP , and Hedgehog ) during scleral ossicle development will be discussed. These investigations have allowed for further understanding of the mechanism of development for the ocular skeleton and intramembranous bones, in general. Grant Funding Source: NSERC

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 score0.022
Threshold uncertainty score0.315

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 head0.013
GPT teacher head0.247
Teacher spread0.235 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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