Evaluation of the Physiological Relationship Between Oxidative Stress andMetabolic Characters: Insights From Hybridization Between Anarhichasminor × A. lupus
Bibliographic record
Abstract
Physiological indicators such as lipid peroxidation and enzymes involved in aerobic/anaerobic energy metabolism were measured in pure and hybrid lines of wolffish juveniles (Anarhichas minor, ♀ A. minor ⨯ ♀ A. lupus). Interspecific hybridization was introduced as a powerful tool to promote augmentation of phenotypic variability and consequently improve our capacity for the detection of clear physiological relationships amongst oxidative stress and metabolic characters. Mitochondrial sequence genes analysis between the Atlantic (A. lupus) and spotted wolffish (A. minor) were later performed to further assess the extent of divergence between A. lupus and A. minor mitochondrial haplotypes. The observed divergences (2.0% and the number of nonsynonymous substitution n=23) do not seem to be sufficient to generate detectable differences in ETS complexes catalytic capacities. Total LDH activity was however higher in hybrids than in the pure strands and tightly correlated to TBARS levels which suggest that LDH actively participates to the regulation of cellular redox status. Our results are discussed in comparison with a similar study on a charr hybrid (Salvelinus alpinus × S. fontinalis).
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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 | 0.000 | 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) | 0.001 | 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".