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Record W2037971279 · doi:10.1029/2006jd007785

A study of the vertical scale of halogen chemistry in the Arctic troposphere during Polar Sunrise at Barrow, Alaska

2007· article· en· W2037971279 on OpenAlexaff
P. J. Tackett, Aubrey E. Cavender, Adam D. Keil, P. B. Shepson, J. W. Bottenheim, Samuel Morin, John Deary, A. Steffen, Chris Doerge

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsEnvironment and Climate Change Canada
FundersInstitut Polaire Français Paul Emile VictorPurdue UniversityNational Oceanic and Atmospheric AdministrationNational Science Foundation
KeywordsSunriseSnowpackTroposphereHalogenArcticAtmospheric chemistryAtmospheric sciencesAtmosphere (unit)PolarSnowEnvironmental scienceOzoneClimatologyEnvironmental chemistryChemistryMeteorologyGeologyOceanographyGeographyOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

The vertical extent and impact of halogen chemistry in the Arctic springtime was investigated through balloon‐based measurement of several atmospheric chemical components. Various chemical species, including volatile organic compounds (VOCs), ozone, and elemental mercury, that are modified by halogen chemistry were measured from the surface to ∼300 m during late March through mid‐April 2005 in Barrow, Alaska. It is observed that the halogen chemistry appears to be most active in the lowest 100–200 m of the atmosphere. The Hg vertical concentration profiles are consistent with destruction by chemistry that evolves from a species emitted from the snowpack, most likely Br2 and BrCl, and the VOC profiles also demonstrate the limited vertical scale of halogen‐initiated chemistry taking place above the Arctic snowpack.

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 score0.083
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.278
Teacher spread0.259 · 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

Citations61
Published2007
Admission routes1
Has abstractyes

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