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THE SEDIMENTARY STRUCTURES AND FOSSILS IN THE EDIACARAN RECORDS: CURRENT RESEARCH OVERVIEW

2024· article· en· W4410445516 on OpenAlexaboutno aff
S.B. Shekhunova, S.M. Stadnichenko, Andrej Martyshyn, N.P. Siumar, O. Biletskyi

Bibliographic record

VenueCollection of Scientific Works of the Institute of Geological Sciences of the NAS of Ukraine · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySedimentary rockPaleontologyCurrent (fluid)ArchaeologyGeographyOceanography

Abstract

fetched live from OpenAlex

nalyses of new data presented in scientific publications on the studies results of the Ediacaran strata in Ukraine and worldwide in terms of sedimentation conditions, sedimentation features and biogenic fossils have been carried out. The article contains materials on the summarising of the data on the results of recent research on stratotype Ediacaran sections in South Australia (Ediacaran Hills), the southeastern part of Newfoundland (Avalon Peninsula) and the White Sea coast. The advanced precision research methods used to develop issues of stratigraphy, sedimentology, geochemistry, paleontology, etc. have been highlighted. The main stages of sedimentation and evolutionary processes in the Ediacaran ecosystem of Volyno-Podillia have been shown and the influence of facial conditions on the taxonomic composition of biotic associations, spatial heterogeneity of communities and morphological features of fossils have been studied. The presence of some Avalonian, Ediacaran – White Sea and Namibian biota representatives has been revealed in the Podillia Ediacaran strata. The analysis of the taxonomic diversity of the studied biotic associations and the ‘absolute’ age data of the maximum prosperity of the Ediacaran biota (established in the Lomoziv and Yampil beds) allows to consider the Podilia biota of the Mohyliv Formation to be younger than the Avalonian association, but slightly older than the White Sea and South Australian ones.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.017
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.084
GPT teacher head0.344
Teacher spread0.260 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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