Underway measurement of ∆Oxygen/Argon (∆(O₂/Ar)) data collected on the Research Vessel Xuelong in the western Arctic Ocean, 2018
Bibliographic record
Abstract
At present, we lack adequate knowledge of how the seasonal progression of sea ice alters the timing and magnitude of Arctic net community production (NCP) in the different physical and biogeochemical regimes (e.g., nutrient-rich shelf versus oligotrophic basin, or ice-covered versus ice-free regions). Bridging the occasional snapshot views provided by field observations is important to achieving a coherent overview of seasonal NCP evolution in the Arctic Ocean, summer to fall. The goal of this project was to examine seasonal and regional variabilities in metabolic status and net community production in the western Arctic Ocean using the cruise opportunities of the Chinese National Arctic Research Expedition (CHINARE, RV Xuelong) in two years (2016 and 2018). Our data cover a range of ecological regimes, including the ice-covered central Arctic, the highly dynamic marginal ice zone (the Mendeleev Ridge and Chukchi Plateau), the nutrient-rich Chukchi Shelf, and the oligotrophic ice-free Canada Basin. The result could provide an unprecedented view of the spatial variability of western Arctic Ocean biological production. The wide coverage of the observations also enables us to examine NCP under rapidly changing ice conditions, thus better elucidating important control mechanisms. Here, we report underway observations of biological oxygen saturation (∆(O₂/Ar)), from which NCP can be derived, in the western Arctic Ocean during the summers of 2018 (this data). The ∆(O₂/Ar) data were collected between July 29, 2018 and September 8, 2018, using an equilibrated inlet mass spectrometer (EIMS) connected to the underway surface water supply.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".