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Record W2130962385 · doi:10.1051/jp4:20030265

Arctic mercury depletion events at two elevations as observed at the Zeppelin Station and Dirigibile Italia, Ny-Ålesund, spring 2002

2003· article· en· W2130962385 on OpenAlex
Torunn Berg, Jonas Sommar, Wängberg, Katarina Gårdfeldt, John Munthe, Bill Schroeder

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.

Bibliographic record

VenueJournal de Physique IV (Proceedings) · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsSnowMercury (programming language)Atmospheric sciencesArcticEnvironmental scienceAltitude (triangle)Environmental chemistryThe arcticAtmosphere (unit)Spring (device)MeteorologyChemistryGeologyOceanographyGeographyPhysics

Abstract

fetched live from OpenAlex

Speciation of mercury in the atmosphere (GEM, RGM) and snow (Hg-tot) has been carried out at two altitudes (474 and 12 m a.s.l.) at Ny-Alesund, Spitzbergen. The concentration of GEM was in the range <0.1 to 2.2 ng m -3 during the campaign. At the lower altitude, the GEM concentration was generally highest and showed a higher variability. RGM and total mercury in snow were anti-correlated with GEM. RGM sampled without teflon grid exhibited higher concentrations than those collected with filter, using manual denuders. Additionally, evidence for photo-induced emissions of Hg 0 from the surface snow was obtained.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.025
GPT teacher head0.274
Teacher spread0.249 · 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