Iron, nutrients, and humic‐type fluorescent dissolved organic matter in the northern Bering Sea shelf, Bering Strait, and Chukchi Sea
Bibliographic record
Abstract
The concentrations of dissolved Fe ([DFe]), total dissolvable Fe, humic‐type fluorescence intensity (humic F intensity) as humic‐type fluorescent dissolved organic matter (humic‐type FDOM), and nutrients were determined vertically in the northern Bering Sea shelf (Yukon River estuary region and St. Lawrence Island polynya region), the eastern Chukchi Sea shelf (Chukchi shelf polynya region), and the central Bering Strait during 30 July to 12 August 2007 and 30 June to 12 July 2008. In early July 2008, with a nearly peak river water discharge period, remarkably high humic F intensity and high [DFe] were found with a decrease in salinity (S = 26–30) in the surface water of the Yukon River estuarine region. These results suggest that riverine humic‐type FDOM is responsible for [DFe] in coastal waters, with natural organic ligand complexation of Fe(III) apparently playing an important role in iron transport to the northern Bering Sea shelf. In the St. Lawrence Island and Chukchi shelf polynya regions, cold dense waters (T = −1.5 to −1.7°C and σθ = 26.2 to 26.7) were found in deep and bottom waters. The cold waters are characterized by high nutrient and iron concentrations and high humic F intensity, probably resulting from two main processes: brine rejection during sea ice formation and transport across the sediment‐water interface during early diagenesis. In the central Bering Strait, the waters are vertically uniform with high salinity (S ≥ 32.5) and high nutrient and iron concentrations. These waters appear to originate from the outer shelf of the Bering Sea and are not affected by denitrification occurring in bottom sediments of the Bering shelf.
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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) | 0.000 | 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".