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Record W2085077566 · doi:10.1007/s00340-008-3125-0

Applications of quantum cascade lasers for sensitive trace gas measurements of CO, CH4, N2O and HCHO

2008· article· en· W2085077566 on OpenAlexaff
C. L. Schiller, Heiko Bozem, C. Gurk, Uwe Parchatka, R. Königstedt, G. W. Harris, Jos Lelieveld, Hubertus Fischer

Bibliographic record

VenueApplied Physics B · 2008
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsYork University
Fundersnot available
KeywordsDetection limitQuantum cascade laserTrace gasQuantum opticsLaserDuty cycleSpectrometerMaterials scienceParts-per notationCascadePhysicsOpticsAnalytical Chemistry (journal)Atomic physicsEnvironmental scienceMeteorologyChemistryEnvironmental chemistryVoltage

Abstract

fetched live from OpenAlex

Abstract We describe here a sensitive quantum cascade laser absorption spectrometer (QCLAS) employed for aircraft based measurements during the GABRIEL 2005 and HOOVER 2006 and 2007 campaigns. This 3-channel instrument measures CO, HCHO, CH4 and N2O using a 64-m path double corner cube White cell. Performance of the instrument was examined for the four species and precisions for CO, N2O and CH4 were measured in the field to be 0.5, 0.5 and 0.7% respectively (2σ). The 1σ detection limit for HCHO was ∼500 pptv for a 2 s average, while signal averaging of the HCHO over a 2 min time interval resulted in a 150 pptv detection limit with a duty cycle of 60%.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.028
GPT teacher head0.278
Teacher spread0.250 · 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
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

Citations100
Published2008
Admission routes1
Has abstractyes

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