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Record W2787794572 · doi:10.11575/prism/27337

Photocatalytic Air Purification: Investigation of Design Parameters

2017· dissertation· en· W2787794572 on OpenAlexaboutno aff
Yi Fan Chen

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typedissertation
Languageen
FieldEngineering
TopicGreen IT and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsPhotocatalysisEnvironmental scienceEnvironmental chemistryMaterials scienceEngineeringChemical engineeringChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

This environmental design Master’s Degree Project is influenced by environmental design, chemistry theories, and research and design approaches as taught by the Faculty of Environmental Design at the University of Calgary and Faculty of Engineering at university of Calgary. The project explored possible variables that may influence the performance of a photocatalytic air purifier/reactor prototype to oxidize volatile organic compounds, a key constituent in polluted air. Several experiments were conducted that examined the impact of the following variables: UV intensity and wavelengths, temperature and humidity, surface area and packing density of the quartz fibre used for the oxidizing reaction. Key findings included potential photocatalytic reactor/air purifier performance improvements, reactor design approach and reaction side effects, The findings will help future research and development of a highly effective photocatalytic air purifier.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.898

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 head0.015
GPT teacher head0.198
Teacher spread0.182 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2017
Admission routes1
Has abstractyes

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