Distribution and composition of suspended biogenic particles in surface waters across Subarctic and Arctic Seas
Bibliographic record
Abstract
Suspended biogenic particles were examined across Subarctic and Arctic Seas during the Canada‐Three‐Oceans (C3O) program in the summers of 2007 and 2008. Particulate organic carbon (POC) and nitrogen (PON), biogenic silica (bSiO2), and size‐fractionated chlorophyll a (chl a) concentrations were measured within the euphotic zone throughout five domains: Eastern Subarctic North Pacific (ESNP), Bering and Chukchi Seas (BE‐CH), Southern Beaufort Sea and Canada Basin (BS‐CB), Canadian Arctic Archipelago (CAA), and Baffin Bay and Labrador Sea (BB‐LS). Despite large variability along the sampling transect and vertically throughout the euphotic zone, domain averages of depth‐integrated POC and PON were relatively invariant across the ESNP, BE‐CH, CAA, and BB‐LS, ranging from 546 to 670 mmol m−2 (POC) and 101 to 154 mmol m−2 (PON), but were much lower in BS‐CB (199 and 78 mmol m−2, respectively). In contrast, depth‐integrated bSiO2 averages were highest in BE‐CH and CAA (>100 mmol m−2), intermediate in ESNP and BB‐LS (34–48 mmol m−2), and low in BS‐CB (6 mmol m−2). Similarly to the bSiO2 distribution, the biomass of the >5 μm chl a size‐fraction averaged 68–69% of total chl a in BE‐CH and CAA, 56% in BB‐LS, and 22–23% in ESNP and BS‐CB. Ratios of bSiO2:PON averaged 1.10–1.30 in BE‐CH and CAA, 0.30–0.34 in ESNP and BB‐LS, and 0.08 in BS‐CB. This study highlights the relative importance of siliceous phytoplankton such as diatoms in BE‐CH and CAA, smaller nonsiliceous cells in BS‐CB and ESNP, and a mixed assemblage of variably sized phytoplankton with a less siliceous component in BB‐LS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".