Evidence for the uptake of atmospheric acetone and methanol by the Arctic Ocean during late summer DMS‐Emission plumes
Bibliographic record
Abstract
Mixing ratios of gas‐phase dimethyl sulfide (DMS), acetone and methanol were measured for the first time in the Canadian Archipelago using a proton‐transfer‐reaction mass spectrometer (PTR‐MS) onboard the CCGS Amundsen from 23 August 2008 to 12 September 2008. For the entire measurement period, there existed moderate negative correlations between both acetone (R = 0.37, p < 10 −4 ) and methanol (R = 0.26, p < 10 −4 ) with DMS. When elevated DMS mixing ratios were observed on a transect between Kugaaruk and Resolute, during which elevated oceanic DMS was also observed, the anticorrelations of acetone and methanol mixing ratios with DMS were stronger (R = 0.61, p < 10 −4 and 0.45, p < 10 −4 respectively). There were no significant correlations of the aromatic species (benzene and toluene) with DMS, and the relatively low values of benzene (mean = 12 pptv) and toluene (mean = 4 pptv) indicate little significant local or regional influence of anthropogenic sources on these observations. When the recent air parcel history was predominantly of marine influence, the DMS mixing ratios were positively correlated with wind speed whereas acetone and methanol were negatively correlated. These observations suggest that biologically active waters in the high Arctic act as a sink for acetone and methanol. While speculative, continued changes in the Arctic climate have the potential to affect levels of acetone and methanol in the polar atmosphere, either through increased levels of open ocean or increased biological productivity.
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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) | 0.001 | 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".