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Record W1550205235 · doi:10.1109/igarss.2003.1294423

Stratospheric trace gas measurements by the Airborne Submillimeter Radiometer ASUR during SCIA-VALUE 2002 (validation and utilisation of ENVISAT and SCIAMACHY data products)

2004· article· en· W1550205235 on OpenAlexaff
J. Kuttippurath, A. Kleinböhl, H. Bremer, H. Küllmann, M. von König, K. Künzi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Toronto
FundersUniversität BremenUniversität Heidelberg
KeywordsSCIAMACHYTrace gasRadiometerEnvironmental scienceRemote sensingRadiometryOn boardAtmospheric sciencesOzoneMicrowave radiometerMeteorologyGeologyPhysicsTroposphere

Abstract

fetched live from OpenAlex

Numerous measurements of the stratospheric trace gases ozone, HCl, HNO/sub 3/, and N/sub 2/O were performed by the Airborne Submillimeter Radiometer ASUR in September 2002. ASUR was deployed on board the German research aircraft FALCON during the SCIA-VALUE 2002 campaign. A latitudinal range between 80/spl deg/N and 5/spl deg/S was covered, enabling ASUR to perform extensive measurements in the tropics for the first time. First retrievals of stratospheric trace gas profiles are presented and their dependence on latitude is studied.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.042
GPT teacher head0.229
Teacher spread0.187 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2004
Admission routes1
Has abstractyes

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