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Record W2501762660 · doi:10.1021/bk-2003-0855.ch006

Xylanase Treatment of D<sub>0</sub> Pulp to Enhance Bleaching

2003· book-chapter· en· W2501762660 on OpenAlexaff
Jeffrey S. Tolan, Corina Popovici

Bibliographic record

VenueACS symposium series · 2003
Typebook-chapter
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsIogen Corporation
Fundersnot available
KeywordsXylanaseChlorine dioxideBleachPulp and paper industryPulp (tooth)Kraft processKraft paperChemistryChlorinePulp millWaste managementEnvironmental scienceEngineeringBiochemistryOrganic chemistryEffluentMedicineDentistryEnzyme

Abstract

fetched live from OpenAlex

Xylanase treatment is used to enhance the bleaching of kraft pulp. This technology is used in 15 mills in North America and enables the mills to bleach pulp while using 10% to 20% less chlorine dioxide or other oxidative chemicals. Xylanase treatment is carried out on brownstock prior to the bleach plant. This treatment location is satisfactory for most mills, but there is an interest in improving the benefits a mill can obtain from xylanase and in treating pulp in mills not amenable to brownstock treatments. This paper describes the xylanase treatment of pulp after the first chlorine dioxide (Do) bleaching stage. Such treatments can take place in neutral wash stages or in the first alkaline extraction stages. There is significant opportunity using xylanase treatments in these stages to obtain a greater benefit than in conventional xylanase treatments of brownstock.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.200
Teacher spread0.193 · 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.

Study designBench or experimental
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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