The aquatic environment of Parry Sound, a deep-water embayment complex of Georgian Bay protected from Dreissena
Bibliographic record
Abstract
The coastline of eastern Georgian Bay in the Parry Sound region is a distinctive nearshore environment consisting of a large deep-water embayment partially isolated from the open lake and connected with other embayments of diverse morphometric features. The underlying geology of the embayments and their watersheds contrasts with the larger lake basin, resulting in heterogenous water quality stemming from mixing of the high-alkalinity, low phosphorus waters of Georgian Bay with the low-alkalinity and higher phosphorus waters draining watersheds of the Canadian Shield. In 2016, water quality was examined in the deep basin of Parry Sound known as the Big Sound, and six connected embayments to examine the influences of watershed loading and anthropogenic development to enable better detection of changes related to human activity. Inter-basin mixing and river loading accounted for much of the variability in major ions, water clarity and nutrients except for Deep Bay, an embayment exhibiting signs of nutrient enrichment. The oligotrophic conditions in Parry Sound have changed little since 1990 unlike Lake Huron where the dreissenid invasion has correlated with falling phosphorus levels. Low calcium levels may limit dreissenid mussel numbers in Parry Sound and are hypothesized to have pre-empted mussel-related changes in water quality. Apparent productivity, light regime and water column stratification of the Big Sound and connected embayments contrast with the adjacent nearshore of Georgian Bay indicating an aquatic environment distinct from the exposed nearshore of Georgian Bay.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".