Understanding oxygen dynamics in two Discovery Islands fjords with different oxygen characteristics (oxic vs. hypoxic subsurface waters)
Bibliographic record
Abstract
In the northern end of the Salish Sea, the Discovery Islands region is a network of deep fjords and narrow channels between Vancouver Island and British Columbia’s mainland. The complex interaction of fresh water inputs, bathymetry, and marine and atmospheric forcing leads to rich marine ecosystems, which sustain wild salmon during their migration as well as orcas and other species. In 2019, summer observations in two nearby fjords, Bute Inlet and Toba Inlet, showed quite different oxygen characteristics. While Bute was fully oxygenated and had high oxygen concentrations in the upper waters, Toba experienced an oxygen minimum layer, with near-hypoxic waters. In this work, we aim to explore the mechanisms that led to these differences by the means of a coupled physical-biogeochemical ocean model. Our physical model is a high resolution (up to ~60 m) application of the Finite Volume Community Ocean Model (FVCOM) that extends from the northern tip of Texada Island to Johnstone Strait. The biogeochemical module, called FVCOM-ICM, allows for the representation of plankton, nutrient and oxygen dynamics in the region. In particular, we are interested in understanding what are the key processes dominating the distribution of dissolved oxygen concentrations, how they differ between the two neighbouring inlets, and whether these processes could change along with climate. In this presentation, we will discuss our latest results and future plans.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".