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Record W3102800745 · doi:10.1029/2020gl088752

Active Sediment Generation on Coral Reef Flats Contributes to Recent Reef Island Expansion

2020· article· en· W3102800745 on OpenAlexaff
Murray R. Ford, Paul S. Kench, Susan Owen, Quan Hua

Bibliographic record

VenueGeophysical Research Letters · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsSimon Fraser University
FundersUniversity of AucklandAustralian Institute of Nuclear Science and EngineeringAsia-Pacific Network for Global Change Research
KeywordsAtollOceanographyRadiometric datingReefCoral reefGeologySedimentAerial imageryRemote sensingGeomorphology

Abstract

fetched live from OpenAlex

Abstract The ongoing development of Jeh Island in the Marshall Islands was investigated using aerial photographs, high‐resolution satellite imagery, and radiometric dating of island sediments. Remote sensing observations show the present‐day island of Jeh is the product of two or more smaller islands merging together between 1943 and 2006 which are continuing to expand despite local sea‐level rise (SLR). Remote sensing observations show modern island development involving a complex multistage merging of smaller islands on a linear atoll rim. Radiometric ages of sediments demonstrate that island development is occurring through the active generation and delivery of modern sediments. Results highlight that at sites where sediment production regimes are in a healthy state, island building under conditions of SLR is possible. The findings have implications for interpreting island evolution from morphostratigraphic studies and understanding future island behavior with further SLR.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.078
GPT teacher head0.318
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2020
Admission routes1
Has abstractyes

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