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Record W4236441019 · doi:10.32920/16638487

Design And Development Of A Multi-Color Soot Emission Diagnostics To Measure Soot Temperature And Concentration

2021· preprint· en· W4236441019 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

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAdvanced Measurement and Detection Methods
Canadian institutionsToronto Metropolitan University
FundersExxonMobil Research and Engineering Company
KeywordsSootPyrometerSpectrometerWavelengthOpticsMaterials scienceTemperature measurementPhysicsChemistryCombustion

Abstract

fetched live from OpenAlex

<div>In this paper, temperature of the soot particles from the flame was determined using line of sight attenuation setup. The emission from the soot particles of the flame will be filtered using a three color pyrometry, in which three slits of different wavelengths will be placed in front of the AP-3200T-USB camera. The author did not use spectrometer to filter the wavelengths because, a spectrometer would give a spectrum consisting of 15 different colors, which is not required in this experiment, since calculation of temperature of the soot only requires two colors to be filtered from the soot. Each wavelength corresponds to RED, BLUE and GREEN color respectively. After the soot emission images are captured in all the three wavelengths, three images will be obtained from the camera. For reading these images, MATLAB code was used, and the pixel intensity values were read from which temperature could be calculated.</div>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Methods
Teacher disagreement score0.118
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

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

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 head0.070
GPT teacher head0.293
Teacher spread0.224 · 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