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Record W2904369638 · doi:10.32508/stdjns.v1i6.625

Development of an automated sampling and measurement equipment to determine the greenhouse gas methane on the waterair surface of urban canals

2018· article· en· W2904369638 on OpenAlexaboutno aff
Trang Thi Nhu Tran, Duc Thanh Nguyen, Huy Minh Pham, An Trieu, Dat Hoang Tran, Viet Duc Tran, Nghia Trong

Bibliographic record

VenueScience and Technology Development Journal - Natural Sciences · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality Monitoring and Forecasting
Canadian institutionsnot available
Fundersnot available
KeywordsMethaneGreenhouse gasEnvironmental scienceSampling (signal processing)GreenhouseEnvironmental engineeringMethane gasRemote sensingDetectorEngineeringChemistryElectrical engineeringGeology

Abstract

fetched live from OpenAlex

Methane (CH4) emission from the aquatic environment is considered as one of the sources of greenhouse gas contributes significantly important to the global warming. For measuring continuously the methane emission from the water-atmospheric interface an automatic sampling and measurement system using floating chamber integrated methane sensor (Automated Floating Chamber integrated Methane Sensor - AFCMS) has been fabricated including the control and PIC datalogger boards with a lower cost than a commercial product. The floating chamber integrated a methane sensor (Panterra, Neodym Technologies, Canada) which works well not only on the quiet water surface but even on the oscillated one. The sensor (coded 1501-1) has a low LOD = 0.45 ppm and a good linearity (R2 = 0.9947) of methane concentration ranging from 2 to 30 ppm. AFCMS system shows a good performance of the equipment deployment for sampling and measuring the methane emissed from the urban canals.

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 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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
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 score0.438
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.072
GPT teacher head0.313
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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