Variation In Fatty Acid Signatures Of Lake Ontario Prey Fish
Bibliographic record
Abstract
Fatty acid signatures (FAS) are currently used in food web studies to provide insights into long term feeding habits of predators based on the degree of similarity between their FAS and that of their prey. To date, FAS data of fish from Lake Ontario are limited and are required to better understand possible energy connections between nearshore and offshore environments. In this study, three major prey fish (alewife - Alosa pseudoharengus, rainbow smelt - Osmerus mordax, and round goby - Neogobius melanostomus) were collected at three sites along the south shore of Lake Ontario (Olcott, Rochester, Oswego) at nearshore (m) and offshore (>70 m) locations. Using multivariate statistics, we will compare species FAS as well as their spatial variation. These data will further our understanding of predator-prey interactions in Lake Ontario’s food web.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".