Methods to rapidly and accurately screen a large number of ENU mutagenized mice for abnormal motor phenotypes
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.
Bibliographic record
Abstract
In a dominant genetic screen for late-onset motor impairments in mice, 16-20-week-old N-nitroso-N-ethylurea (ENU)-mutagenized females were subjected to a behavioural test battery consisting of a visual assessment followed by the vertical pole, rotarod and grip strength tests. SOD1-G93A transgenic mice were tested in parallel as a positive control to provide information on the validity and sensitivity of the screen. From among the 1500 G1 ENU mice screened, four affected mice with impaired motor function were classified as outliers. Approximately 32% of the G2 and G3 progeny of one outlier were affected. Vertical pole, rotarod and grip strength test scores were significantly correlated with each other and with body weight in the G1 progeny, but the correlation with body weight was not maintained in the G2 and G3 progeny. We found that two tests, tail suspension and vertical pole, were sufficient to distinguish ENU outliers and SOD1-G93A hemizygotes from control mice, and could detect abnormalities earlier and more frequently than the other tests employed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it