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Record W4415260273 · doi:10.2110/palo.2025.001

NEOICHNOLOGICAL EXPRESSIONS OF SALINITY VARIABILITY: TESTING ICHNOLOGICAL PROXIES IN THE GIRONDE ESTUARY AND ARCACHON BAY, FRANCE

2025· article· en· W4415260273 on OpenAlexaff
Shahin E. Dashtgard, Murray K. Gingras, Hugues Féniès, Raphaël Bourillot

Bibliographic record

VenuePalaios · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of AlbertaSimon Fraser University
Fundersnot available
KeywordsEstuaryBaySalinityTrace fossilSampling (signal processing)TurbiditySedimentary rock

Abstract

fetched live from OpenAlex

Abstract This study evaluates neoichnological characteristics of the Gironde Estuary and Arcachon Bay to test ichnological proxies of salinity conditions along a freshwater to marine gradient. Both the Gironde Estuary and Arcachon Bay are classified as mixed-influence (wave-tide) estuaries, but tidal currents are stronger and turbidity is higher in the Gironde Estuary funnel than in Arcachon Bay. Trace distributions and the size-diversity index (SDI) are determined at various localities in both systems and are then compared to trends established in prior studies. Results indicate that SDI provides a robust, quantitative correlation with salinity that is comparable to geochemical and biological proxies. Trace (ichno) diversity alone reflects salinity qualitatively but is limited by sampling and human (interpretation) biases and data variability. These findings contribute to better understanding the predictive value and limitations of SDI in modern estuaries. However, the application of SDI in the sedimentary record requires additional research as neither infaunal diversity nor vermiform burrows can be established reliably therein.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.238
Teacher spread0.216 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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