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Record W2344136874

Imaging skeletal pathology in mutant mice by microcomputed tomography.

2003· article· en· W2344136874 on OpenAlexaff
Alice Fiona Ford-Hutchinson, David M. L. Cooper, Benedikt Hallgrímsson, Frank R. Jirik

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicHeterotopic Ossification and Related Conditions
Canadian institutionsResearch Canada
Fundersnot available
KeywordsAnkylosisCalcificationMedicineAnatomySesamoid bonePathologyRadiographyRadiologyOrthodontics
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: We describe the utility of microcomputed tomography ( micro CT) for imaging skeletal abnormalities in rodent model systems. For the purpose of illustration, the progressive ankylosis (ank) mutant was selected. ank mice develop prominent articular and periarticular calcifications at multiple anatomical sites, including paws, elbows, knees, and vertebrae. METHODS: Forelimbs, hindlimbs, and proximal tail vertebrae of 4-month-old female ank/ank mice were scanned at 15 micro m resolution using a SkyScan 1072 micro CT instrument and images were generated using Analyze 4.0 software. RESULTS: This technique was able to show, in 3-dimensional images, the abnormal calcification of ank/ank mice, which was readily observed within joint surfaces, on periosteal surfaces, sesamoid bones, menisci, and joint capsules, as well as other periarticular ligamentous structures. CONCLUSION: As illustrated by the example of the progressive ankylosis mutant, micro CT represents a powerful emerging tool for identifying and monitoring the progression of developmental or acquired skeletal abnormalities within rodent models.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.288

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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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

Citations27
Published2003
Admission routes1
Has abstractyes

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