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Record W3084223384 · doi:10.1016/j.margeo.2020.106342

Relative sea-level stability and the radiocarbon marine reservoir correction at Natuna Island, Indonesia, since 6400 yr BP

2020· article· en· W3084223384 on OpenAlexaff
Jeannette Xiu Wen Wan, A. J. Meltzner, Adam D. Switzer, Ke Lin, Xianfeng Wang, Sarah Bradley, D. H. Natawidjaja, Bambang W. Suwargadi, Benjamin P. Horton

Bibliographic record

VenueMarine Geology · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsMcGill University
FundersH2020 European Research CouncilEarth Observatory of SingaporeLembaga Ilmu Pengetahuan IndonesiaMinistry of Education, IndiaNanyang Technological UniversityNational Research FoundationMinistry of Education - SingaporeNational Research Foundation Singapore
KeywordsReplicateRadiocarbon datingSea levelOceanographyGeologyPhysical geographyCoralPost-glacial reboundLast Glacial MaximumGeographyPaleontologyHoloceneStatistics

Abstract

fetched live from OpenAlex

A high-precision relative sea level (RSL) record over the past 6400 years, reconstructed from fossil coral microatoll colonies, is reported for Natuna Island, Indonesia. The timing of 11 fossil microatolls from four sites on Natuna Island is constrained by replicate 14C and 230Th dates. We investigate the local marine reservoir correction (∆R) using the replicate dates. The two sets of dates become aligned if a Marine20 ∆R of −143 ± 176 yr, 1σ (Marine13 ∆R of 15 ± 63 yr) is assigned to the 14C dates. The distribution of microatoll ages and elevations indicates that RSL was relatively stable from 6400 to 1400 yr BP at 0.2–0.7 ± 0.4 m (2σ) higher than present, before a fall to current levels. A comparison with the predictions of a suite of glacial isostatic adjustment (GIA) models for Southeast Asia suggests refinements are needed in ice-history models to fully capture our RSL data. These new constraints on past RSL of the Sunda Shelf contribute to further calibration of GIA models in the tropics, where RSL data are presently insufficient.

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 score0.055
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 studies0.0000.001
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 head0.022
GPT teacher head0.193
Teacher spread0.171 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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