Fish community indices of ecosystem health: How does the Bay of Quinte compare to other coastal sites in Lake Ontario?
Bibliographic record
Abstract
The Index of Biotic Integrity (Minns et al., 1994) was used to evaluate ecosystem health in the Bay of Quinte, Lake Ontario. Despite being classified an Area of Concern (AOC) in 1985, Index of Biotic Integrity (IBI) values at Bay of Quinte fell within the range or exceeded values from reference locations elsewhere in Lakes Ontario and Erie. Fish survey data collected from 1988–2009 in the Bay of Quinte and elsewhere indicated that (1) the Bay of Quinte has relatively healthy fish habitat despite the AOC designation, (2) Bay of Quinte IBI scores increased significantly between 1990 and 1999 due to changes in relative species richness and (3) differences in fish communities were correlated with physical habitat attributes at survey locations. Data from both nearshore electrofishing and trap net surveys confirmed that the Bay of Quinte supports a highly productive and diverse fish community.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".