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Record W4317761950 · doi:10.2113/gsjfr.53.1.49

Foraminifera Associated With Swirled <i>Spartina Patens</i> Beds on Perched Marshes Along the Rocky Coastline of Lunenburg County, Nova Scotia

2023· article· en· W4317761950 on OpenAlexaboutno aff
Brent Wilson, Lee‐Ann C. Hayek

Bibliographic record

VenueThe Journal of Foraminiferal Research · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsForaminiferaMarshGeologyBenthic zoneCalcareousOceanographyDominance (genetics)PaleontologyEcologyBiologyWetland

Abstract

fetched live from OpenAlex

ABSTRACT Perched marshes in Lunenburg County differ in exposure to prevailing waves (from most to least exposed: Crescent Beach, Blue Rocks, Feltzen South). We sampled the middle marsh, recording replicates’ dried masses. In picking stage 1 (PS1), the first 400 foraminifera, whether agglutinated or calcareous-walled, were picked and identified. From these data we calculated the Shannon Function H and compared the between-locale signals of benthic foraminifera using a relative-dominance index, ACW, for agglutinated and calcareous-walled foraminifera. Crescent Beach was a distinct locale with much medium-grained quartz sand and abundant allochthonous calcareous foraminifera (hence ACW &amp;lt; 1). The other sites’ ACWs ranged from ∼50–100. There was a significant negative ACW:residue mass correlation. In picking stage 2 (PS2), the remaining agglutinated foraminifera were picked. The Feltzen South perched marsh yielded only Miliammina fusca, perhaps reflecting high %N and %C. Meanwhile, Trochammina inflata was abundant at Crescent Beach and Blue Rocks.

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)0.016
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 score0.014
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.115
GPT teacher head0.340
Teacher spread0.225 · 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
Published2023
Admission routes1
Has abstractyes

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