Preliminary study of guard hair morphology in four dog breeds
Bibliographic record
Abstract
BACKGROUND: Morphological differences between mammalian hair types are useful for species distinction. Differences in animal hair structure are observed between species, whereas there may be breed differences within a species. HYPOTHESIS: Guard hair structure may vary between different dog breeds. ANIMALS: Hair samples were collected from 73 dogs of four breed types (wire-haired Dachshund, Labrador retriever, German shepherd dog and Yorkshire terrier). METHODS: Hair was measured and analysed by scanning electron microscopy. The following were evaluated: hair thickness; medulla to hair cross-sectional area ratio; scale density, pattern and margins; and medulla shape, composition and structure. RESULTS: There were significant differences in all measured parameters between breeds. CONCLUSIONS AND CLINICAL IMPORTANCE: These study findings may be useful for the study of classifying dog breeds and for forensic identification of a dog breed through hair sampling.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".