MétaCan
Menu
Back to cohort

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

2024· article· en· W4403668077 on OpenAlexaff
Yang Wang, Tongzheng Zhang, Harunur Rashid

Bibliographic record

VenueGlobal and Planetary Change · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Ottawa
FundersNational Natural Science Foundation of China
KeywordsSeamountGeologyOceanographyGlacial periodmyrVolcanoPaleontology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.031
GPT teacher head0.245
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueGlobal and Planetary ChangeSame topicGeology and Paleoclimatology ResearchFrench-language works237,207