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Record W2007724248 · doi:10.1080/02713680490894315

<i>In Vivo</i>Assessment of Postnatal Murine Ocular Development by Ultrasound Biomicroscopy

2005· article· en· W2007724248 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Eye Research · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsHospital for Sick ChildrenWomen's College HospitalUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsUltrasound biomicroscopyIn vivoOphthalmologyUltrasoundMedicineLens (geology)PathologyBiologyAnatomyRadiologyGlaucoma

Abstract

fetched live from OpenAlex

PURPOSE: Ultrasound biomicroscopy (UBM) can noninvasively provide anatomical information about mouse ocular structures. We present the quantitation of postnatal murine eye development using UBM. MATERIALS AND METHODS: The eyes from CD-1 mice were examined at 1, 2, 4, 6, and 8 weeks of postnatal development using 40 MHz UBM. Patterns of ocular tissue growth including the lens, globe, and anterior chamber were calculated. RESULTS: Postnatal CD-1 lens and globe volumes are consistent with an exponential decay of growth during the first 8 postnatal weeks. Anterior chamber depth increases most sharply in the first 2 postnatal weeks but continues to increase up to the 8th postnatal week. Anterior segment angle was observed to increase from 1 to 4 weeks. CONCLUSIONS: UBM can be used to obtain in vivo quantitative measurements of postnatal murine ocular structures. Our ability to obtain ocular anatomical information will facilitate future assessments of mouse models of human disease.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.552

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 studies0.0000.000
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 head0.029
GPT teacher head0.417
Teacher spread0.389 · 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