Distribution and density of glochidia of the freshwater mussel<i>Anodonta kennerlyi</i>on fish hosts in lakes of the temperate rain forest of Vancouver Island
Bibliographic record
Abstract
We examined the distribution and abundance of glochidia of the freshwater mussel Anodonta kennerlyi Lea, 1860 on local fishes in three temperate rain forest lakes near Bamfield, on the west coast of Vancouver Island, British Columbia. Fishes involved in the life cycle of the mussel were the prickly sculpin (Cottus asper Richardson, 1836), threespine stickleback (Gasterosteus aculeatus L., 1758), Dolly Varden (Salvelinus malma (Walbaum, 1792)), and cutthroat trout (Oncorhynchus clarkii (Richardson, 1836)). For each lake, we assessed which fish was the most important for larval propagation and recruitment of the mussel by considering the fish's primary habitat, the percentage of fish in a sample with glochidia, and the abundance of glochidia on sampled fish. Also, an alternative method for quantifying the glochidia's "preference" for a host consisted of measuring the number of glochidia per unit area of fish body surface (larval density). We digitized the surface area of fins and head, i.e., the areas used by glochidia for settlement. Every fish species in each lake dispersed the glochidia. There was, however, a sharp gradient in the intensity of the fish–mussel linkage among fishes. Fishes that co-occurred most often with mussels, such as sculpins and sticklebacks, had the highest density of glochidia. Larval density on fishes also revealed the existence of between-lake differences in glochidia preference.
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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 | 0.001 |
| 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".