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Microfacies, geochemical characters and possible mechanism of rhythmic deposition of the Pabdeh Formation in SE Ilam (SW Iran)

2019· article· en· W2905611078 on OpenAlexaff
Zahra Hosseini Asgarabadi, Saeed Khodabakhsh, Hassan Mohseni, Nasrollah Abbassi, Galen P. Halverson, Thi Hao Bui

Bibliographic record

VenueGeopersia · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsMcGill University
Fundersnot available
KeywordsMarlGeologySiliciclasticLithologySedimentary depositional environmentSedimentary rockTurbidity currentPaleontologyGeochemistryTurbiditePetrographyDeposition (geology)Sediment

Abstract

fetched live from OpenAlex

Rhythmical alternations between limestone and marls characterize the Pabdeh Formation, southwestern Iran. Three intervals of these rhythmites were studied using sedimentary, petrography and geochemical parameters analysis, to unravel the possible mechanisms responsible for the origin of these rhythmites. The microfacies analysis reflects calm deep-water sedimentation that were interrupted by sporadic traction currents from shallow-marine. The geochemical analysis indicates the primary difference between limestones and marls in interval 1. However, for the intervals 2 and 3, there is no significant difference in the geochemical results between intercalated lithologies. The isotope data (δ18O and δ13C) for limestones and marl rhythms compared with Eocene marine calcite show post depositional alteration. Limestone–marl alternations in the interval 1, therefore, originated from the cyclic changes in siliciclastic input by shallow-water derived currents (probably turbidity currents). However, for the intervals 2 and 3, although the field observations (such as extensive lateral continuity of individual beds and sharp contact between different lithologies) and some of the sedimentological parameters such as existence of the microfossils with similar preservation quality, suggest the primary rhythm as a major mechanism, the geochemical data do not strongly support this conclusion.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.277

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)0.0000.000

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 head0.010
GPT teacher head0.184
Teacher spread0.174 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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