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Record W2097692889 · doi:10.1109/igarss.2002.1025785

The calibration of the MOPITT instrument

2003· article· en· W2097692889 on OpenAlexaff
Jiansheng Zou, F. Nichitiu, J. R. Drummond

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTroposphereRemote sensingEnvironmental scienceCalibrationOffset (computer science)Measuring instrumentSpacecraftMeteorologyComputer scienceAerospace engineeringGeologyPhysicsEngineering

Abstract

fetched live from OpenAlex

The MOPITT (Measurements Of Pollution In The Troposphere) instrument aboard the Terra Spacecraft was launched on Dec. 18, 1999 and has operated successfully since then. Instrument radiances are calculated from a total of 8 channels, which are combined in a retrieval scheme to measure the carbon monoxide (CO) profile and methane (CH/sub 4/) column in the troposphere. The instrument gain and offset, which are the key parameters to utilize the instrument measurements and to evaluate performance, are determined through an in-flight 2-point calibration scheme. Fluctuations and trends in the gain and offset on various time scales can be understood in terms of the instrument design, its performance, and the thermal environment. Some techniques for optimizing the noise levels as well as alternative methods of data processing, such as are required to cope with instrument anomalies, will be discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.005
GPT teacher head0.167
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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