Fine and coarse modes of dicarboxylic acids in the Arctic aerosols collected during the Polar Sunrise Experiment 1997
Bibliographic record
Abstract
Fine (<1 μm) and coarse (>1 μm) aerosol particles were collected at Alert, Canada (82°27′N, 62°30′W), during the Arctic spring as part of the Polar Sunrise Experiment 1997 and were analyzed for low molecular weight dicarboxylic acids (C2–C11) using gas chromatography with flame ionization detector (GC‐FID) and GC/mass spectrometry (GC/MS). More than 80% of total diacids were detected in the fine fraction, suggesting the production by gas‐to‐particle conversion in the Arctic. In both fractions, oxalic acid was the dominant diacid species followed by succinic and malonic acids. Shorter chain diacids (C2–C5) showed the concentration maximum on 5–7 April; however, longer chain diacids ( 6) did not show a clear peak in the same periods. A significant depletion of ozone was observed during the experiment, where an anticorrelation was found between the concentrations of ozone and shorter chain diacids (C2–C5) in both fine and coarse aerosols. During this event, we also observed the enhanced concentration of filterable bromine in both modes. Peaks of dicarboxylic acids in both coarse and fine aerosols during ozone depletion events indicate that heterogeneous reactions are occurring on coarse particle and possibly on fine particles as well. Dicarboxylic acids may be produced by the oxidation of precursor compounds such as glyoxal and glyoxylic and other ω‐oxocarboxylic acids that contain aldehyde (hydrated form) group, being involved with ozone and halogen chemistry in the Arctic marine boundary layer.
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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 | 0.000 | 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".