Additional file 2 of X-linked muscular dystrophy in a Labrador Retriever strain: phenotypic and molecular characterisation
Bibliographic record
Abstract
Additional file 2: Figure S2. Phenotype in the neonatal period: fulminating form and growth retardation. A: Serial sections of muscle tissue sampled on a deceased LRMD neonate stained with H&E (left) and Alizarin red S (right)., Necrosis and calcium overload were seen in the diaphragm, and to a lesser extent, in the tongue and the sartorius cranialis muscle. Other muscles, such as the triceps brachii, the tibialis cranialis or the biceps femoris, were relatively spared by this rhabdomyolysis process. The results observed are consistent with the muscle lesions observed in the GRMD neonatal fulminating form. B: Whole section view of a diaphragm biopsy taken from a deceased LRMD neonate. The strong staining with Alizarin red S indicates that there is a significant calcium overload in this muscle. C: Kaplan-Meier survival curve during the neonatal period (from birth to 2 months of age) showing that half of the LRMD dogs died within their first days of life due to neonatal fulminating forms. Only 47 % of the LRMD dogs survived to weaning (2 months of age). D: Weight curves during the neonatal period (from birth to weaning, 2 months of age) from 5 different litters, showing growth retardation in most LRMD dogs (in black) relative to healthy littermates (in grey). E: Picture of a 15-week-old LRMD dog (LRMD7, on the right) compared to a healthy littermate (carrier female) illustrating the difference in size F: Picture of a one month-old LRMD dog (LRMD13, on the right) compared to a healthy male littermate.
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 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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.846 | 0.154 |
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".