Changes in surface productivity and subsurface denitrification during the Holocene: a multiproxy study from the eastern Arabian Sea
Bibliographic record
Abstract
Spatial and temporal variations in the intensity of subsurface denitrification in the water-column of the eastem Arabian Sea have been investigated using chemical and isotopic proxies. The data show a steady increase in the denitrification intensity from ∼10 ka to ∼2 ka BP, probably caused by changes in surface productivity fuelled by strengthening of upwelling (monsoonal intensity). In addition, changes in redox conditions and detrital material input are assessed using abundances of a suite of major and trace elements. The temporal variations in some of the monsoonal proxies are characterized by periodicities of ∼1400 and ∼700 years, similar to those reported in the South Asian (Chinese) monsoon and high-latitude climate (north Atlantic region).
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".