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Record W1962983150 · doi:10.1002/apj.1925

Carbon dioxide adsorption by modified carbon nanotubes

2015· article· en· W1962983150 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

VenueAsia-Pacific Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsAdsorptionCarbon nanotubeCarbon dioxideSurface modificationUreaChemical engineeringMaterials scienceCarbon fibersChemistryNanotechnologyOrganic chemistryComposite materialComposite number

Abstract

fetched live from OpenAlex

Abstract In this study the CO 2 adsorption of three different diameters of multi‐walled carbon nanotubes (MWCNT) and single‐walled carbon nanotube (SWCNT) was investigated for a mixture of CO 2 /Ar at a temperature of 70 °C and atmospheric pressure. The largest diameter of MWCNT showed the highest CO 2 uptake of 65.2 mg CO 2 adsorbed per g adsorbent. One of the MWCNTs were modified with urea (CH 4 N 2 O) under two different loading durations with the aim of improving adsorption capacity. After such a functionalization, the CO 2 uptake increased from 53.9 to 64.1 mg CO 2 adsorbed per g adsorbent after 4 h loading duration. These findings indicate considerable potential of functionalized carbon nanotubes in comparison with other silica and carbon adsorbents. © 2015 Curtin University of Technology and John Wiley & Sons, Ltd.

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 categoriesMeta-epidemiology (narrow)
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.188
Teacher spread0.179 · 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