<i>In Vivo</i>Assessment of Postnatal Murine Ocular Development by Ultrasound Biomicroscopy
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".