Diverse glacial ventilation in deep Pacific: An integrated record from Mariana Trench and Magellan Seamounts over the last 1.2 Myr [Global and Planetary Change, volume 230, November 2023, 104279]: Comment
Bibliographic record
Abstract
Yi (2023) proposed a new deep Western Pacific ventilation hypothesis using beryllium ( 10 Be/ 9 Be) and 230 Th ex dates, magnetostratigraphy, and element-based tuning data from two box cores and one gravity core. However, given the low sedimentation rates of these cores and uncertain stratigraphy, we suggest that some interpretations require further clarifications and corrections. The low sedimentation rates cast doubt on the validity of the millennial-scale western Pacific bottom-water oxygenation variability. The lack of unsupported explanations about the newly found periodicity in the Mariana Trench and Magellan Seamounts records raises concern about the confidence of the age models. The phasing between the North Atlantic deep water and Antarctic bottom water formation and atmospheric p CO 2 in the deep Western Pacific setting is unclear. • The Comment highlights to clarify and correct some of Yi's (2023) interpretations. • The low sedimentation rates cast doubt on the millennial-scale western Pacific bottom-water oxygenation variability. • The lack of supported explanations about the newly found periodicity raises concern about the confidence of the age models. • The phasing between the NADW and AABW formation and atmospheric p CO 2 in the deep Western Pacific setting is unclear.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".