Mercury throughout polar sunrise 2002
Bibliographic record
Abstract
\nMercury depletion events (MDEs) are now a well-known phenomenon occurring in Polar Regions during the\nspringtime. During these MDEs gaseous elemental mercury (GEM) is chemically transformed to less volatile mercury\nspecies (operationally defined as reactive gaseous mercury (RGM) and mercury associated with particles (PM)). Various\nmeasurement techniques have been employed to measure these different mercury species. However, it is still to be\nestablished what species of mercury are being measured in the Arctic air during depletion events. A study was undertaken\nin the spring of 2002 at Alert, Canada to investigate several techniques for the measurement of these reactive mercury\nspecies under Arctic conditions during polar sunrise. This study compared automated GEM, manual and automated RGM\nand PM measurement techniques as well as a method for total atmospheric mercury. Results showed that manual and\nautomated sampling techniques compared reasonably well. Relative differences in RGM and PM concentrations over land\nand over the ocean were investigated. PM concentrations were consistent higher than RGM, with the same relative\nabundance at both sample sites. Additionally, flux measurements were undertaken, including chamber and\nmicrometeorological methods.\n
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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".