© Author(s) 2008. This work is distributed under the Creative Commons Attribution 3.0 License. Atmospheric Chemistry and Physics Corrigendum to
Bibliographic record
Abstract
We have discovered two errors in our published paper “Lightning-produced NO2 observed by two ground-based UV-visible spectrometers at Vanscoy, Saskatchewan in Au-gust 2004 ” (Fraser et al., 2007). The derivation of the VCD (vertical column density) of NO2 contains an erroneous as-sumption, which is corrected in this corrigendum. In ad-dition, the use of O4 air mass factors (AMFs) instead of ozone AMFs gives a better calculation of the enhanced AMF due to path-enhancement by clouds associated with the thun-derstorm. These corrections reduce the NO2 flash produc-tion amounts calculated in the original paper by a factor of approximately seven, putting the estimates in line with the lower end of the range suggested by Schumann and Huntrieser (2007). In the original manuscript, the lightning-produced VCD is calculated from the following two equations: DSCD(SZA)=VCD × AMF(SZA)−RCD (1) DSCD′(SZA)=VCD × AMF′(SZA)−RCD. (2) DSCD is the differential slant column density, RCD is the reference column density, and the primes indicate path-enhanced quantities due to the presense of clouds. Calcu-lating the VCD from these two equations (giving Eq. (6) in the original paper) makes the erroneous assumption that the VCD does not change during the storm, which is precisely the increase that we are trying to calculate. This assump-tion is initially made to calculate the portion of the total NO2 Correspondence to: A. Fraser
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.718 | 0.740 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".