Combustion aerosol from experimental crown fires in a boreal forest jack pine stand
Bibliographic record
Abstract
Combustion aerosol particles from boreal forest fires were quantified to facilitate investigation of the potential effects of increased fire activity caused by global warming, by providing data inputs for global and regional climate modelling of the direct and indirect effects. Aerial sampling was carried out in smoke plumes from 1-ha prescribed burns in mature jack pine stands. The three sampled burns resulted in crown fires, with fuel consumption from 4.2 to 5.8 kg·m2. Accumulation and coarse mode aerosol (>0.1 µm) was quantified using a passive cavity aerosol spectrometer probe and cascade impactor. The number median diameter of particles in the smoke plume was 0.29 µm, and the peak number and cross-sectional area density occurred around a particle size of 0.4 µm. More than 99% of particles sized had diameters <1.2 µm. Aerosol from flaming combustion was coarser than that from the smouldering phase, with number median diameters of 0.3 and 0.2 µm, 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 | 0.000 | 0.000 |
| 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".