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Record W4415353976 · doi:10.2110/sepmscn.057.35

Hydrodynamic Modelling of the Inundated Late Jurassic Arabian Shelf - Insights for Depositional Patterns in Shallow Water Carbonate Environments and Organic Rich Intrashelf Basins

2023· book-chapter· en· W4415353976 on OpenAlexaff
Akbar N. Wicaksono, Gaurav Siddharth Gairola, Peng Zhan, Daquan Guo, Ahmad Ramdani, Pankaj Khanna, Ibrahim Hoteit, Volker Vahrenkamp

Bibliographic record

VenueSEPM (Society for Sedimentary Geology) eBooks · 2023
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsSedimentary depositional environmentFaciesCarbonateWaves and shallow waterConstraint (computer-aided design)Numerical modelingOrganic matter

Abstract

fetched live from OpenAlex

Key Messages: (1) An improved understanding of paleo-hydrodynamics can be used as a constraint when modeling realistic distributions of reservoir facies patterns in the subsurface. (2) Hydrodynamic modeling provides insights into paleo-current patterns and their potential relationships to organic matter generation, transport and deposition.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.174
Teacher spread0.159 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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