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Record W2808323478 · doi:10.1515/npprj-2018-3028

The influence of bar width on bar forces and fibre shortening in low consistency pulp refining

2018· article· en· W2808323478 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

VenueNordic Pulp & Paper Research Journal · 2018
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsCanfor Pulp Products (Canada)University of British Columbia
Fundersnot available
KeywordsBar (unit)Pulp (tooth)Consistency (knowledge bases)Enhanced Data Rates for GSM EvolutionMaterials scienceComposite materialStructural engineeringMechanicsMathematicsEngineeringPhysicsGeometryDentistry

Abstract

fetched live from OpenAlex

Abstract This paper describes forces in pulp refiners and their influence on fibre shortening. We show that force per bar length obtained by a simple calculation from the Specific Edge Load ( SEL ) is a useful parameter to describe threshold force levels below which levels of fibre cutting can be avoided. Our analysis is supported by data from studies on four refiners and in one case by direct measurement of force in an operating refiner. In particular, we show that small bar widths lead to large forces and consequently that SEL must be adjusted to lower levels to avoid fibre cutting. We also speculate on the lower limits of bar width.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.044
GPT teacher head0.366
Teacher spread0.322 · 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