MOPITT detection of carbon monoxide emitted from biomass burning: a case study
Bibliographic record
Abstract
The EOS Measurements Of Pollution In The Troposphere (MOPITT) is the first free-flying instrument for global measurement of carbon monoxide (CO) in the atmosphere from space. Because biomass burning is one of the major sources of CO to the atmosphere, the capacity of MOPITT to detect CO released from biomass burning is important and is the subject of this investigation. A study area with a series of fire events in the year 2000 in the northwest United States is selected. Fire data, detected with Advanced Very High Resolution Radiometer (AVHRR) from the satellite, were acquired and processed to spatially and temporally match the CO data. It is found that the increase of CO in the atmosphere is closely related to burning area and density in the study area. It appears that MOPITT can detect the CO increase due to biomass burning in a forested area when the fire size is over 40 km/sup 2/, i.e. 8% of a MOPITT pixel.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".