Selection Against Blue Mussels (Mytilus edulis L.) Homozygotes Under Various Stressful Conditions
Bibliographic record
Abstract
Three mussel groups differing in mean multilocus heterozygosity (MLH) were used to examine the MLH-fitness relationship. Mussels were submitted to aerobic and anaerobic stressful conditions in the laboratory, and their LT(50) was measured. Mortality was not random in two of the three groups and affected the homozygous individuals more. This selective mortality caused a significant increase in the mean MLH of the survivors, but only for the two groups characterized by the lowest initial MLH and significant deficits in heterozygotes at the onset of the experiments. While these experiments were ongoing, the same two groups also suffered a 40% mortality rate in lantern nets under field conditions. This mortality also increased the mean MLH in survivors. All groups showed strong inverse relationships between MLH and standard metabolism. Our results suggest that the higher resistance of more heterozygous individuals is related to their lower metabolic needs.
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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".