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Record W1988801163 · doi:10.2166/wst.2010.790

Novel composite photocatalyst made of TiO2 nanoparticles

2010· article· en· W1988801163 on OpenAlex
Adrián A. Vega, Gustavo E. Imoberdorf, M. Keshmir, Madjid Mohseni

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

VenueWater Science & Technology · 2010
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhotocatalysisScanning electron microscopeNanoparticleMaterials scienceComposite numberCatalysisBET theoryChemical engineeringNanotechnologySpecific surface areaComposite materialChemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

A novel photocatalyst based on TiO(2) nanoparticles was developed for application in fluidised bed photocatalytic reactors for water treatment. The mechanically robust photocatalyst consists of composite spheres made of TiO(2) nanoparticles and TiO(2) commercial powder. X-ray diffraction (XRD), scanning electron microscopy (SEM) and specific surface area analysis (BET) were used to characterise the catalyst. The photocatalytic activity was evaluated using model pesticide micro-pollutant. A complete model comprised of radiation, kinetic, and reactor bed models was also developed, allowing for detailed analysis of the photoreactor.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
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 head0.009
GPT teacher head0.224
Teacher spread0.216 · 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