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Record W2325538496 · doi:10.1021/mz3002935

Support-Free Porous Polyamine Particles for CO<sub>2</sub> Capture

2012· article· en· W2325538496 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

VenueACS Macro Letters · 2012
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsChemical engineeringMaterials scienceFlue gasPorous mediumPolymerPolymerizationPorosityAmine gas treatingCombustionPrecipitationFossil fuelOrganic chemistryChemistryComposite material

Abstract

fetched live from OpenAlex

CO 2 emission from fossil fuel combustion is a major anthropogenic factor for global warming. Solid amine sorbents may be used to remove CO 2 from waste flue gases before their emission into the atmosphere. These particles are currently obtained by loading amine-containing compounds or polymers onto premade or commercially available porous supports. These supports play no active role in CO 2 uptake and increase the amount of heat or cost required to regenerate CO 2 -sorbed particles by heating. Reported in this communication are the preparation, by precipitation polymerization, of support-free polyamine porous particles and the performance of these particles in CO 2 capture at room temperature and release at 100 °C.

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 score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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