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Record W4211198886 · doi:10.1130/g46519y.1

Petrological evidence supports the death mask model for the preservation of Ediacaran soft-bodied organisms in South Australia: REPLY

2019· article· en· W4211198886 on OpenAlexaff
Alexander Liu, Sean McMahon, Jack Matthews, John Still, Martin Brasier, Diana Marosi

Bibliographic record

VenueGeology · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsMemorial University of Newfoundland
FundersNatural Environment Research CouncilSight Research UK
KeywordsGeologyPaleontologyArchaeologyGeography

Abstract

fetched live from OpenAlex

We gratefully acknowledge the Comment by Tarhan et al. (2019) in<br/>response to our paper (Liu et al., 2019) discussing preservation of<br/>Ediacara Member fossils. We agree that the mere presence of pyrite or<br/>iron oxides in these rocks does not establish either that pyrite was an<br/>agent of fossilization, or that authigenic marine silica was not. However,<br/>our observations were important in demonstrating both that early<br/>diagenetic pyrite cementation remains a plausible taphonomic mechanism in the Ediacara Member, and that the early silicification taphonomic<br/>model (Tarhan et al., 2016) is undermined by available petrological and geochemical data.

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)0.000
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 score0.091
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.093
GPT teacher head0.284
Teacher spread0.190 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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