Long-term trends in Lake Ontario's benthic macroinvertebrate community from 1994–2008
Bibliographic record
Abstract
The benthic macroinvertebrate community of Lake Ontario was assessed through a lakewide survey in 2008. Diporeia was very rare throughout the lake at all depths in 2008, and only four of 52 locations had densities >100 m−2, all of them at depths >90 m. The maximum density of Diporeia found at any location was at 257 m−2 in 2008, which can be compared to maximum densities of 13,280 m−2 observed in 1994. Lakewide Diporeia abundance declined with an additional order of magnitude from an average of 342 m−2 in 2003 to 21 m−2 in 2008. The Quagga Mussel (D. rostriformis bugensis) dominated the benthic macroinvertebrate community in 2008, comprising over 70% of the density and 98% of the biomass. No Zebra Mussels were identified in the 2008 samples. Quagga Mussels, Oligochaetes and Chironomids were most abundant between 31 and 90 m. Sphaeriids were rare at all depths, but were more abundant at sites deeper than 90 m. Between 2003 and 2008, lakewide Dreissena abundance declined by 43% primarily due to significant declines in the 10–30 m depth region (from 6500 m−2 to 900 m−2). Dreissena did not decline significantly in the 30–90 m or over 90 m depth regions. The 2008 survey revealed a continued decline in Diporeia and Sphaeriid Clams, a replacement of Zebra Mussels by Quagga Mussels, and a decline in Quagga Mussels at depths shallower than 30 m. Oligochaetes and chironomids showed no significant changes since the 1990s.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".