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Record W2390947454

The Formation of Anionic Trash during Alkaline Peroxide Bleaching of Triploid Populus Tomentosa Carr. CTMP

2005· article· en· W2390947454 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

VenueChina Pulp & Paper · 2005
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsLigninPeroxideChemistryCationic polymerizationKraft processCarrPulp (tooth)DissolutionKraft paperPolymer chemistryOrganic chemistryChemical engineering
DOInot available

Abstract

fetched live from OpenAlex

It is generally known that anionic trash in pulp slurry has a negative impact in any process where cationic polymer is used. In the peroxide bleaching of triploid populus tomentosa carr. CTMP, the formation of anionic trash is mainly due to the dissolution of polygalacturonic acid, oxidized lignin and fatty and resin acid. The amount of the anionic trash depends on the brightness target. Two factors affecting the formation of anionic trash were investigated in this paper. The results showed that NaOH charge was the most important factor affecting the formation of anionic trash in the peroxide bleaching process of triploid populus tomentosa carr. CTMP. On the other hand, the H_2O_2 charge mainly affected the formation of lignin-bound anionic trash. The result also indicated that the dissolution of the oxidized lignin was one of the main sources of the anionic trash generated in the process of the peroxide bleaching of triploid populus tomentosa carr. CTMP.

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 score0.005
Threshold uncertainty score0.446

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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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