On the sedimentary carbonate accumulation and dissolution in Western Pacific marginal basins
Bibliographic record
Abstract
Abstract The critical role of marginal seas in the global carbon cycle and their response to climate and circulation changes are not well understood. In this study, we used long‐term archives of sedimentary CaCO3 data and a conceptual model to systematically determine the spatial and vertical features of the sediment carbonate system in the marginal seas along the Western Pacific Ocean. Our results show that the northward‐flowing Antarctic Bottom Water and Lower Circumpolar Deep Water produced shallower calcium carbonate preservation depths as they moved north and became more carbonate‐undersaturated. This suggests that the carbonate chemistry in the deep Western Pacific marginal sea basins is mostly governed by the global ocean thermohaline circulation. In contrast, the carbonate system in the deep Japan/East Sea is unique, with limited sedimentary carbonate accumulation due to weak calcification and its internal overturning circulation. Despite differences in the hydrological and ecological settings, the sedimentary calcium carbonate profiles in the Tasman Sea and South Fiji Basin are comparable to those in the Atlantic and Pacific Oceans, reflecting the remarkable influence of open‐ocean carbonate chemistry.
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 | 0.001 |
| 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 | 0.000 | 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".