Rate of species introductions in the Great Lakes via ships' ballast water and sediments
Bibliographic record
Abstract
We report results from a study of species in ballast tanks of ships entering the Great Lakes between 2000 and 2002. We collected 1349 individuals from at least 93 unique taxonomic groups, of which approximately half were identified to species. We estimated that the zooplankton assemblage in ballast water destined for the Great Lakes comprised from 200 to 1000 unique taxa consisting of both freshwater and marine species. Between 14 and 39 of these taxa have not yet been recorded from the Great Lakes. Further, 13.9% of individual specimens identified to the species level were from species not previously collected from the Great Lakes. We collected seven nonindigenous freshwater species not currently found in the Great Lakes: Brachionus plicatilis, Cyclocypria kinkaidia, Maraenobiotus insignipes, Microcyclops rubellus, Microcyclops varicans, Neomysis awatchensis, and Paracyclops chiltoni. We found no evidence that ship age, seasonal timing, or age of ballast water affected the abundance of individuals or species in the ballast tanks. To our knowledge, these are the first extrapolations of data from ballast water collections to estimate the rate of species introduction to any ecosystem.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".