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Record W2047661849 · doi:10.1021/es103796v

In Situ Measurement of UV Fluence Rate Distribution by Use of a Micro Fluorescent Silica Detector

2011· article· en· W2047661849 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Science & Technology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFluenceUltravioletTransmittanceMaterials scienceFluorescenceDetectorIn situAnalytical Chemistry (journal)OpticsRADIUSRange (aeronautics)OptoelectronicsChemistryPhysicsLaserChromatography

Abstract

fetched live from OpenAlex

The fluence rate (FR) distribution in an ultraviolet (UV) reactor was determined experimentally in situ by use of a novel 360° micro fluorescent silica detector (MFSD). The UV response of the MFSD was systematically characterized, and the results indicated that this detector responded only to UV in the range from 210 to 280 nm. The nonlinearity was found to be less than 1% as the FR varied from 0.083 to 2110 μW/cm2. The luminescent signal increased by 0.11% for every degree increase in temperature in the studied range of 0-55 °C. FR distribution tests were performed in different media (air or water) with the water transmittance at either 95% or 85% determined in a 1-cm path length. The FR distribution of the near-lamp region (e.g., radius<50 mm) was well determined with the nearest distance to the sleeve being less than 3 mm. Comparisons were made between the experimental data and the calculations by use of the UVCalc model. This work demonstrates that the MFSD is a novel technique that can provide in situ and real-time measurements of the FR distribution in a UV reactor.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.212
Teacher spread0.191 · 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