Morphometric discrimination of <i>Gyrodactylus salaris</i> Malmberg (Monogenea) from species of <i>Gyrodactylus</i> parasitising British salmonids using novel parameters
Bibliographic record
Abstract
Morphometric data were collected from scanning electron micrographs of released hamuli and marginal hooks collected from five species and three morphotypes of Gyrodactylus parasitising salmonids in the UK and Canada. Five new parameters for measurement from the hamulus are described: shaft‐point length, hamulus angle, hamulus width, shaft area and the root area; and three from the marginal hook: sickle aperture, toe length and the marginal hook area. Univariate statistics were used to select seven of nine useful metrical hamulus features and seven of eight marginal hook features. Of the hamulus features, the shaft‐point length discriminated all Gyrodactylus salaris populations from all other Gyrodactylus populations and the hamulus angle discriminated only the Swedish G. salaris populations from those gyrodactylids on British salmonids. The marginal hook features, the sickle length, sickle aperture, total length and shaft length of G. salaris were significantly larger than those of all other gyrodactylids included within the study. Of the British fauna, it was found that G. derjavini from Welsh salmon was significantly smaller than all other British collections of Gyrodactylus in this study, having smaller hamuli point lengths, total lengths and shaft lengths. Separate principal components analyses were performed on the variables selected for the hamuli and for the marginal hooks. The principal component analysis (PCA) analysis demonstrated that individual structures from either the hamulus or the marginal hook, significantly discriminate every specimen of G. salaris from all other gyrodactylid specimens included within the analysis. The discrimination of G. derjavini from G. truttae by this method, was however, not possible and the description of additional morphometric parameters may be necessary before this separation can be achieved.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".