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Record W2086419859 · doi:10.1002/dvdy.22529

Hyaluronan production by means of <i>Has2</i> gene expression in chondrocytes is essential for long bone development

2011· article· en· W2086419859 on OpenAlexaff
Pierre Moffatt, Eunice R. Lee, Benoit St‐Jacques, Kazu Matsumoto, Yu Yamaguchi, Peter J. Roughley

Bibliographic record

VenueDevelopmental Dynamics · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsShriners Hospitals for Children - Canada
Fundersnot available
KeywordsEpiphysisCartilageBiologyExtracellular matrixDiaphysisAggrecanLong boneAnatomyCell biologySkeleton (computer programming)ChondrocyteBone matrixEndocrinologyInternal medicineFemurPathologyArticular cartilageMedicine

Abstract

fetched live from OpenAlex

Mice possessing no Has2 expression in chondrocytes died near birth and displayed abnormalities throughout their skeleton. By embryonic day 18.5, the long bones were short and wide, and possessed excessive mineralization within their diaphysis, with little evidence of diaphyseal bone modeling. However, this does not appear to be associated with an absence of blood vessel invasion or the reduced presence of osteoclasts. There was no evidence for the formation of an organized growth plate between the epiphysis and diaphysis, and while hypertrophic chondrocytes were present in this region they were abnormal in both appearance and organization. There was also increased cellularity in the epiphyseal cartilage and a corresponding decrease in the abundance of extracellular matrix, but aggrecan was still present. Thus, hyaluronan production by chondrocytes is not only essential for formation of an organized growth plate and subsequent long bone growth but also for normal modeling of the diaphyseal bone.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), 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

Citations24
Published2011
Admission routes1
Has abstractyes

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