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Record W1892767015 · doi:10.4271/2008-01-0625

Calculation Method of Adsorption and Desorption Performance of Butane Gas in Carbon Canister

2008· article· en· W1892767015 on OpenAlex
Kazunari Sato, Noriyuki Kobayashi, Masanobu Hasatani

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

VenueSAE International Journal of Engines · 2008
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsMAHLE Filter Systems (Canada)
Fundersnot available
KeywordsButaneDesorptionAdsorptionMaterials scienceCarbon fibersEnvironmental scienceWaste managementChemical engineeringPetroleum engineeringChemistryEngineeringComposite materialOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">This paper presents how Computational Fluid Dynamics tool can be used for the numerical evaluation of n-butane adsorption and desorption performance in carbon canister.</div> <div class="htmlview paragraph">Formula of material balance within activated carbon particles and formula of material/heat balance within activated carbon packed beds for n-butane as a single component were used in the simulation. These formulas were derived after experiments proved that water vapor in the air do not inhibit the adsorption of n-butane.</div> <div class="htmlview paragraph">The experiments and the formulas are described and the significance of the simulation is investigated.</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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.275

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 head0.016
GPT teacher head0.251
Teacher spread0.236 · 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