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Record W2885976082 · doi:10.32964/10.32964/tj7.4.4

Effect of HYP fibers on bulk and surface roughness of wood-free paper

2008· article· en· W2885976082 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

VenueTAPPI Journal · 2008
Typearticle
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsTembecUniversity of New Brunswick
Fundersnot available
KeywordsSurface roughnessSurface finishMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Two typical high-yield pulps (HYPs) used in wood-free paper grades, aspen HYP and birch HYP, were investigated for their effects on the bulk and surface roughness when substituting for hardwood kraft pulp in wood-free fine paper production. Results show that paper bulk, bending stiffness, and opacity can be improved significantly by both aspen and birch HYPs. Birch HYP has greater effects since birch fibers are larger and have higher coarseness. However, increasing HYP substitution rate increases paper surface roughness and decreases paper strength. Selection of HYP species and substitution rate should be made based on the needs of a specific paper grade.

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 score0.171
Threshold uncertainty score0.261

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 head0.008
GPT teacher head0.193
Teacher spread0.185 · 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