Denitrification in the Arctic winter 2004/2005: Observations from ACE‐FTS
Bibliographic record
Abstract
Arctic denitrification in the winter 2004/2005 is analyzed using measurements from the satellite instrument ACE‐FTS. Two methods based on changes in the correlations of odd nitrogen (NOy) versus methane and versus an artificial long‐lived tracer are employed. The observations show that significant denitrification occurred in the region 15 km–20 km and that it was spatially inhomogeneous within the polar vortex. Before the vortex breakup in mid‐March 2005 a maximum denitrification of 8 ± 0.8 ppbv, accounting for a relative reduction of over 50%, was observed at ∼450 K (∼17 km) using both methods. When averaged over the polar vortex for the first half of March, the denitrification at this level was about 4.4 ppbv and 5.0 ppbv from the artificial tracer method and the correlation method, respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".