Measurements of carbon monoxide and methane from space
Bibliographic record
Abstract
The Measurements Of Pollution In The Troposphere (MOPITT) instrument is designed to measure carbon monoxide (CO) and methane (CH/sub 4/) in the troposphere from space and will be launched as part of the EOS AM-1 payload in mid-1998. The accuracy of the measurements is required to be 10% for CO with profile information and 1% for the CH/sub 4/ column. These targets impose strict design requirements on the instrument. MOPITT operates by measuring the upwelling radiation from the atmosphere and uses high-performance detectors, narrow spectral filters and correlation spectroscopy to achieve its objectives. The performance of the instrument and its long-term accuracy depend upon the correct implementation of the various measurement strategies, proper calibration of the entire system and validation of the experiment after launch. The major focus of an instrument of this type is the manner by which the radiances are interpreted in terms of the concentration profiles they represent. This involves aspects of instrument design, spectral modelling, retrieval techniques and validation activities. Some of the difficulties inherent in the measurement technique are the practicalities of a space instrument as opposed to a laboratory or ground-based experiment, the presence of interfering gases and the interaction of the calibration with the measurement accuracy and precision.>
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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 | 0.000 | 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) | 0.001 | 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".