MétaCan
Menu
Back to cohort
Record W2051961323 · doi:10.4996/fireecology.0401101

Nitrogen Isotopic Composition and Elemental concentration of Tree-rings May Help Map the Extent of Historic Fire Events

2008· article· en· W2051961323 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFire Ecology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsUniversity of New BrunswickQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
Keywordsδ15NBetulaceaeIsotope analysisNitrogenEnvironmental scienceEcologyStable isotope ratioChemistryBiologyδ13CPhysics

Abstract

fetched live from OpenAlex

Elemental and nitrogen isotopic compositions of tree-rings adjacent to a fire-scar in a white birch ( Betula papyrifera ) are compared to those away from the scar in the same tree, and to those of nearby non-scarred yellow birches ( Betula alleghaniensis ) and white birches. The δ 15 N value at the fire-scar was 1.5 ‰ lower than non-fire-scarred trees and had elevated Ba, Ca, Mg, Sr, and Mn concentrations relative to elsewhere around the bole and to non-scarred trees. Variations in tree-ring chemistry may be useful in mapping the extent and assessing the magnitude of historic fire events.

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.

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 score0.016
Threshold uncertainty score0.384

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 head0.007
GPT teacher head0.199
Teacher spread0.193 · 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