Water chemistry and physical gradients across the coastal band of eastern Georgian Bay: A coherent habitat template
Bibliographic record
Abstract
The 125 km long archipelago of islands, reefs and embayments composing the coastline of eastern Georgian Bay connects the adjacent watersheds of the Canadian Shield with the calcareous basin of Lake Huron resulting in gradients of nutrients, major ions, alkalinity-pH, DOC and water transparency. An investigation of the broad distribution of these gradients, extending over four regions of coastline and the 60 km of shoreline from 2014 to 2016 indicated that this onshore-offshore transition in water quality is a predictable feature of the nearshore stemming from the underlying geological transition from land to lake. Consolidating the onshore to offshore gradient is the quasi-channelized nature of mixing across the highly dissected coastal band that adds to the persistence of mixing areas. In addition to water quality, the coastal gradient also encompasses a broad range of physical attributes of the aquatic environment including the thermal, optical, exposure regimes and the physical character of lakebed substrate. Consequently, we hypothesize that diverse forms of aquatic life can be anticipated to select and preferentially distribute across the habitat template embodied by the gradients that span the coastal band of eastern 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 | 0.001 |
| Science and technology studies | 0.000 | 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".