MétaCan
Menu
Back to cohort
Record W2004634949 · doi:10.1080/02773810902822355

A Partial Magnesium Hydroxide Substitution for Sodium Hydroxide in Peroxide Bleaching of an Aspen CTMP

2009· article· en· W2004634949 on OpenAlexaff
Yonghao Ni, Zhibin He

Bibliographic record

VenueJournal of Wood Chemistry and Technology · 2009
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsChemistrySodium hydroxidePeroxidePulp (tooth)LigninOxalateMagnesiumNuclear chemistryInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract A partial substitution of sodium hydroxide (NaOH) by magnesium hydroxide (Mg(OH)2) as the alkali source was studied in peroxide bleaching of an aspen chemi-thermomechanical pulp (CTMP). The effects on pulp properties, including pulp strength, optical property and carboxylic groups content, and process characteristics, such as oxalate and anionic trash formation, were studied. The X–ray photoelectron spectroscopy (XPS) technique was used to determine the lignin and extractives concentrations on the fiber surface. With the increased Mg(OH)2 substitution ratio, the peroxide bleaching process gave a higher pulp yield and peroxide bleaching efficiency, produced pulps with higher light scattering coefficient and bulk, while the total oxalate, anionic trash, and chemical oxygen demand load (COD) were less. The total carboxylic groups content and the surface charge of pulp fibers were decreased. The underlying mechanism responsible for the decreased strength properties, when the Mg(OH)2 substitution ratio was increased, is discussed.

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)0.001
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 score0.011
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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

Citations19
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Wood Chemistry and TechnologySame topicAdvanced Cellulose Research StudiesFrench-language works237,207