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Record W4412950901 · doi:10.1111/ter.70009

Expanding the Ichnofacies Model to Tidal Straits: Testing Predictions and Assessing Anomalies

2025· article· en· W4412950901 on OpenAlexafffund
Luís A. Buatois, M. Gabriela Mángano, Valentina Marzia Rossi, Sergio G. Longhitano, Julio Leva López, Marcello Gugliotta, Domenico Chiarella

Bibliographic record

VenueTerra Nova · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIchnofaciesGeologyOceanographyPaleontology

Abstract

fetched live from OpenAlex

ABSTRACT Trace fossils are instrumental in facies analysis, but some depositional environments remain underexplored. Cenozoic deposits in Italy have been studied to evaluate the ichnology of tidal straits. These comprise four zones: (1) strait centre, (2) dune‐bedded strait zone, (3) strait end and (4) strait margin. The strait centre is characterised by non‐deposition and/or erosion and is host to firmground Thalassinoides of the Glossifungites Ichnofacies, whereas the coarse‐grained deposits of the strait margin are unbioturbated. The dune‐bedded strait zone is typified by high energy. The ichnofacies model predicts that this zone would be characterised by the Skolithos Ichnofacies. Instead, deposits are dominated by the spatangoid ichnogenus Bichordites , with subordinate occurrences of the opheliid polychaete burrow Macaronichnus . A stressed expression of the Cruziana Ichnofacies occurs in the strait end. These observations expand the ichnofacies model to tidal straits, suggesting that the ichnology of tidal environments is more complex than previously envisaged.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.292
Teacher spread0.218 · 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
Published2025
Admission routes2
Has abstractyes

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