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Record W3138071572 · doi:10.1144/m57-2017-16

Yukon Flats Basin Tectono-Sedimentary Element, East-Central Alaska

2021· article· en· W3138071572 on OpenAlexaboutno aff
Richard G. Stanley

Bibliographic record

VenueGeological Society London Memoirs · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyOutcropConglomerateSedimentary rockNeogeneTerranePaleontologyStructural basinCretaceousSedimentologyPaleogeneGeochemistryFluvialGeomorphologyTectonics

Abstract

fetched live from OpenAlex

Yukon Flats is a vast and remote lowland that straddles the Arctic Circle, and is located along the Yukon River in east-central Alaska. Seismic reflection and gravity data indicate that low-density sedimentary strata beneath Yukon Flats are as thick as 8 km and are underlain by Jurassic–Devonian oceanic rocks of the Angayucham–Tozitna terrane. On the basis of shallow core-hole penetrations and by analogy with nearby outcrops, the low-density strata are thought to consist of fluvial and lacustrine deposits of Neogene, Paleogene and, possibly, Late Cretaceous age. No deep petroleum exploration wells have been drilled in Yukon Flats, but a coalbed methane test reached a total depth of nearly 700 m and found small amounts of microbial methane. Geochemical data from outcrops and shallow core holes suggest that potential source rocks include non-marine coal, mudstone and shale, whereas potential reservoirs include non-marine sandstone and conglomerate. Numerous potential structural and stratigraphic traps are evident on seismic profiles. The United States Geological Survey estimates that undiscovered, technically recoverable, oil resources in the Yukon Flats Basin Tectono-Sedimentary Element range from 0 to almost 600 MMbo, and that undiscovered, technically recoverable, gas resources range from 0 to almost 15 Tcf.

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 score0.694
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.205
Teacher spread0.186 · 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
Published2021
Admission routes1
Has abstractyes

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