The Ecology of Natural Shoals in lake Ontario and their Importance to Artificial Reef Development
Bibliographic record
Abstract
This chapter addresses investigations on natural cobble shoals in eastern Lake Ontario and our artificial reef project in western Lake Ontario. It focuses on a comparison of biotic communities between natural shoals in eastern Lake Ontario which have considerable vertical relief and the flat bedrock and cobble substrates which characterize western Lake Ontario near the artificial reef site. Moreover, interest in artificial reef development as a fishery management strategy has been gaining momentum in the Great Lakes. Indeed, biotic communities can be considered stream-like habitats within lakes and are unique to the Great Lakes and other large lakes where physical features of the environment play such a prominent role. Rocky substrates are clearly important for lake trout spawning but their broader role in the ecology of coldwater game fishes in the Great Lakes remains unclear. Numbers of fishes in Mexico Bay and off Olcott were dramatically different, with fish and benthos data exhibiting similar trends.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".