MétaCan
Menu
Back to cohort
Record W4405588800 · doi:10.1088/1748-9326/ada16b

A local meteoric water line for interior Alaska constrains paleoclimate from 40 000 year old relict permafrost

2024· article· en· W4405588800 on OpenAlexaff
Thomas A. Douglas, Amanda Barker, Alistair Monteath, Duane Froese

Bibliographic record

VenueEnvironmental Research Letters · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Alberta
FundersStrategic Environmental Research and Development ProgramNatural Environment Research CouncilSight Research UK
KeywordsPaleoclimatologyPermafrostGeologyMeteoric waterPhysical geographyClimatologyLine (geometry)OceanographyPaleontologyClimate changeGeography

Abstract

fetched live from OpenAlex

Abstract Anthropogenic climate warming is degrading permafrost across interior Alaska. Information from past warming events provides long-term perspectives for future trajectories; however, late Quaternary seasonal temperatures are poorly constrained. We have established a stable water isotope meteoric water line for interior Alaska and measured stable water isotope values from 126 permafrost cores representing different ice types deposited over the past ∼40 ka (thousand years before 1950 CE). Samples represent two late Quaternary warm periods: marine isotope stage three (MIS3; 57–29 ka) and the Holocene (11.7 ka-present). Older samples provide insight into local climatic conditions slightly before the first archeological evidence for Paleolithic hunter-gatherers in the region. From permafrost ice we calculate that summer temperatures warmed by ∼10 °C between late MIS3 and today, with six degrees of warming between 40–30 ka and 3 ka and an additional 4 °C of warming since 3 ka. Half this recent 4 °C warming has occurred over the past 70 years.

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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEnvironmental Research LettersSame topicMethane Hydrates and Related PhenomenaFrench-language works237,207