Predatory Impact of Exotic Cladoceran Cercopagis pengoi on the Zooplankton of Lake Ontario
Bibliographic record
Abstract
This investigation into the impact of Cercopagis on the zooplankton community of Lake Ontario was a collaborative project between Corey Laxson and Dr. Joe Makarewicz of the Limnology Lab at SUNY College at Brockport, and Kerry McPhedran and Dr. Hugh Maclsaac of The Great Lakes Institute for Environmental Research at the University of Windsor, Ontario. The project was funded by a research Grant from New York State Sea Grant. K. McPhedran and Dr. Maclsaac performed all the laboratory experiments on the feeding of Cercopagis at the University of Windsor. For further information on the predation experiments see: Predation by the exotic cladoceran Cercopagis pengoi on the zooplankton community of Lake Ontario a Thesis by K. McPhedran, 2001. Department of Biological Sciences, University of Windsor, Windsor Ontario.
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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 | 0.001 | 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".