MétaCan
Menu
Back to cohort
Record W2099202919 · doi:10.1260/026361706778062577

Adsorption Separation of Methyl Chloride from Nitrogen Using ZSM-5 and Mesoporous SBA-15

2006· article· en· W2099202919 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdsorption Science & Technology · 2006
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ottawa
KeywordsChemistryMesoporous materialAdsorptionZSM-5NitrogenChlorideInorganic chemistryChemical engineeringNuclear chemistryCatalysisOrganic chemistryMolecular sieve

Abstract

fetched live from OpenAlex

The adsorption capacities of zeolite ZSM-5 and periodic mesoporous molecular sieve SBA-15 towards methyl chloride (chloromethane) and nitrogen were examined for the separation of these gases. Adsorption isotherms were obtained by using a constant volume technique up to 1.6 atm over the temperature range 40–80°C. The Langmuir, Freundlich, Sips and Toth adsorption models were fitted to the isotherms and validations of these models were discussed. Adsorption isosteres were obtained by using the parameters of the Toth equation. Binary adsorption isotherm predictions were undertaken using the Extended Langmuir (EL) and Ideal Adsorbed Solution Theory (IAST) in order to obtain a better understanding of the separation of methyl chloride from air. Henry's law constants, heats of adsorption and separation factors for both adsorbents were also obtained.

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)0.001
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 score0.032
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.276
Teacher spread0.262 · 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