Temporal Dynamics of Freshwater Mussel Larvae
Bibliographic record
Abstract
Unionids, which have parasitic glochidia larvae, likely compete for host fishes in multispecies mussel beds (> 20 species). The timing of glochidia abundance and the potential for partitioning of their ‘host-fish’ environment were examined. Glochidia were continuously sampled at 2-h intervals over ten 24-h days using a rosette sampler in the Sydenham River, Ontario from late August to September 2020. A total of 6104 glochidia from 17 unionid species were analyzed. A generalized linear mixed model indicated that the highest abundance of glochidia was at night, peaking at 20:00 (± 1 h) LST. Chi-square analysis revealed that many species were not uniformly distributed throughout the day, rather, their abundance aligned with reported diel activity patterns of their hosts. Glochidia abundance peaked at different times in unionids that shared hosts, suggesting host partitioning. Results provide insight into the concept of host partitioning to reduce competition, which will aid in unionid conservation.
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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".