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Record W2348887023

Bleaching of fungal modified eucalyptus chemithermomechanical pulp

2007· article· en· W2348887023 on OpenAlexaff
Kecheng Li

Bibliographic record

VenueJournal of Guangxi University · 2007
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBleachPulp (tooth)EucalyptusPulp and paper industryHydrogen peroxideChemistryBrightnessOysterBotanyOrganic chemistryBiologyEngineeringDentistry
DOInot available

Abstract

fetched live from OpenAlex

Fungal treatment can improve the strength properties of mechanical pulp significantly,and it is helpful to expand the potential application of this pulp.In the present study,white-rot fungus Trametes hirsute 196 was used to modify eucalyptus CTMP fibers and the bleaching process of fungal treated pulp was investigated.The results showed that the brightness of eucalyptus CTMP decreased from 49.6% to 37.8% after white-rot fungus treatment.The bleachability of this pulp was lower and it couldn't be bleached to brightness levels of 60% only after a single-step bleach sequence by hydrogen peroxide or sodium hydrosulfite.However,after a tow-step bleach sequence by Na2S2O4-H2O2,the final brightness of bleached pulp can reach 71.3%.

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.

How this classification was reachedexpand

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 score0.020
Threshold uncertainty score0.329

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 head0.007
GPT teacher head0.180
Teacher spread0.173 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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