Factors shaping the parasite communities of trout-perch, <i>Percopsis omiscomaycus</i> Walbaum (Osteichthyes: Percopsidae), and the importance of scale
Bibliographic record
Abstract
Trout-perch (Percopsis omiscomaycus Walbaum) provide a useful model in which to study fish-parasite communities because they have restricted trophic categories, they represent a single widely distributed taxon in North America, and numerous compound community surveys exist for comparison at the local and biogeographical scales. Forty-two species are reported from trout-perch, with 19 species known from Dauphin Lake, Manitoba, Canada. The most prevalent parasites species increased with host age, relating to increased food intake and (or) shifts in dietary preference towards larger food items. Randomization methods developed here demonstrate observed richness, and diversity patterns are nonrandom for local infracommunities and regional component communities. High mean overlaps, combined with high number of shared parasites and diversity estimates, indicate a predictable system. Schooling, maximum size, and age restricted the trout-perch diets to macroinvertebrates, resulting in extensive dietary sharing, which produced their homogenous infracommunities. Inshoreoffshore diurnal movements combined with limited trophic categories revealed predictable component communities at the biogeographical scale. Eight parasites were predictable at the local scale and six at the regional scale (comprising two strictly host-specific species and four ecological species). Ecological predictability was determined by repeated predatorprey patterns, preferred host habitat, and niche sympatry. Trout-perch parasite communities, at both the local and regional scales, were determined by stable infracommunity processes and fish community complexity, which influence the component communities at the local scale.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".