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Record W2046504753 · doi:10.1029/2006gl026206

Inter‐ and intra‐continental transport of radioactive cesium released by boreal forest fires

2006· article· en· W2046504753 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeophysical Research Letters · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsHealth Canada
Fundersnot available
KeywordsTaigaEnvironmental scienceAtmosphere (unit)RadionuclideBorealCaesiumAtmospheric sciencesGeologyPhysical geographyMeteorologyGeographyPhysicsPaleontologyNuclear physicsForestry

Abstract

fetched live from OpenAlex

A high‐precision radionuclide monitoring site was established in Yellowknife/Canada in 2003. Far away from nuclear activities, regular signals of 137 Cs were found there during the summers of 2003 and 2004. We show that these signals can be explained by transport from fires burning in the boreal forests of North America and Asia. This finding has important implications. It demonstrates that 137 Cs deposited world‐wide from past nuclear testing is re‐injected into the atmosphere by combustion to a significant extent and on a large scale, and is subsequently transported across great distances. Besides this, the analysis shows how efficiently a new receptor‐oriented atmospheric transport modeling technique can be used to check whether a 3D emission inventory is consistent with discrete point measurements.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.994

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 studies0.0000.001
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 head0.009
GPT teacher head0.247
Teacher spread0.239 · 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