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Zanclean to gelasian high-frequency sequences of the crotone basin (southern Italy): Architectural variability and forcing mechanisms

2024· article· en· W4391755558 on OpenAlexaff
Massimo Zecchin, Mauro Caffau, Octavian Catuneanu

Bibliographic record

VenueMarine and Petroleum Geology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeologyTransgressiveNeogenePaleontologyMilankovitch cyclesAggradationSequence (biology)Sequence stratigraphyQuaternaryStructural basinFluvialSedimentary depositional environment

Abstract

fetched live from OpenAlex

The Zanclean Belvedere Formation and the Gelasian Strongoli Sandstone, cropping out in the Neogene to Quaternary Crotone Basin, southern Italy, exhibit a high-frequency cyclicity consisting of 10°–101 m sequences, which stack in an aggradational to progradational pattern. These high-frequency sequences are bounded by ravinement surfaces and are usually composed of transgressive and regressive deposits of similar thickness. In particular, the high-frequency sequences of the Belvedere Formation are composed of a transgressive systems tract and of a highstand systems tract, whereas those of the Strongoli Sandstone likely record also forced regression in their upper part. Due to the vertical repetition of the studied high-frequency sequences and their similar architecture despite the different tectonic settings in which the two formations accumulated, a climatic/glacio-eustatic control associated with earth-orbital parameters is very likely, as also documented in coeval successions worldwide. This contribution refines the correlation between shallow-marine sequences and their deep-water counterparts, which preserve a better record of the Milankovitch cyclicity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.005
GPT teacher head0.191
Teacher spread0.185 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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