Exploring Nitrogen Cycling in Oxygen-Depleted Oceans: Description From Estuary and Gulf of St. Lawrence
Bibliographic record
Abstract
This dataset covers an in-depth study of the nitrogen cycle along the oxygen concentration gradient of the Laurentian Channel in the St. Lawrence Estuary and Gulf. The study, conducted during the summers of 2021 and 2022, aimed to assess the impacts of deoxygenation on the marine ecosystems of this region. To do this, sampling was carried out aboard the Research Vessel Coriolis II. Water samples allowed the measurement of nutrient and dissolved gas concentrations, including N2, Ar and N2O, in the water column. Sediment samples were also collected to perform incubations and characterize pore waters, with the aim of evaluating the contribution of sediments to N2 production and nitrate consumption. The results obtained provide significant insight into the processes of fixed nitrogen loss and changes in stoichiometric ratios induced by deoxygenation in the waters of the St. Lawrence Estuary and Gulf. This study thus allows for a better understanding of the impacts of this phenomenon on the nitrogen cycle and the functioning of these marine ecosystems.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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".