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Record W4389485838 · doi:10.18261/let.56.4.1

Ichnology of the Cenomanian Buda Formation, USA: assessing environmental and taphonomic controls on carbonate trace-fossil assemblages

2023· article· en· W4389485838 on OpenAlexaff
Fernando L. Valencia, M. Gabriela Mángano, Luís A. Buatois, Gustavo L. Valencia, Juan Carlos Laya

Bibliographic record

VenueLethaia · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsTaphonomyIchnologyTrace fossilCenomanianCarbonateGeologyPaleontologyTRACE (psycholinguistics)GeochemistryChemistryCretaceousPhilosophy

Abstract

fetched live from OpenAlex

The Buda Formation is a coccolith-rich carbonate unit deposited in lagoonal waters of the Comanche Shelf during the early Cenomanian. This unit constitutes a long-lived hydrocarbon reservoir and an important regional marker in the Texas Gulf Coast Basin. Several sedimentological and stratigraphic studies have been carried out on this formation but debates regarding its depositional conditions persist. The Buda Formation is characterized by a high degree of bioturbation intensity; however, comprehensive ichnological analyses focused on elucidating its depositional conditions have not been performed yet. Here, we report the Buda Formation ichnofauna comprising twenty ichnotaxa and widely dominated by Thalassinoides isp. and Chondrites isp. The ichnological analysis allowed us to recognize nine ichnofabrics, which reflect changing palaeoecological and palaeoenvironmental conditions during the deposition of this unit. In general, the different ichnofabric expressions throughout this formation reflect fluctuating levels of exchange of waters between the Buda lagoon and the open sea, based on the inherent changes in physicochemical parameters, such as oxygenation levels and salinity. In addition, the concept of taphonomic pathways is underscored for accuracy in palaeoecological reconstructions, as well as the need for integrating diagenetic processes, particularly when applying this concept to carbonate 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 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)0.000
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 score0.275
Threshold uncertainty score0.547

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.014
GPT teacher head0.213
Teacher spread0.199 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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