Fish species composition, distribution and abundance trends in the open-coastal waters of northeastern Lake Ontario, 1992–2012
Bibliographic record
Abstract
Bottom set gill nets were used to describe and track the fish community in northeastern Lake Ontario from 1992–2012. Six fixed, depth-stratified transects, spread more or less evenly from the mouth of the St. Lawrence River in the Kingston Basin to Brighton in central Lake Ontario, were sampled annually during summer. The balanced sampling design provided a broad picture of the warm, cool and coldwater fish community inhabiting open-coastal waters out to about 30 m water depth. Catch results were summarized by geographic area and depth strata to describe species distribution patterns, and presented graphically to illustrate annual abundance trends of the most important fish species (Alewife, Lake Trout, Yellow Perch, Walleye, Round Goby, Lake Whitefish, Brown Trout, Rock Bass, Smallmouth Bass, Chinook Salmon, Burbot, Cisco and Round Whitefish). Many of these dominant species showed peak abundance levels in the early 1990 s followed by decline. Of particular note, members of the coldwater benthic-oriented species assemblage, having all declined dramatically in the 1990s, remain at very low abundance levels, and their future prognosis appears bleak.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".