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Record W2079092796 · doi:10.1515/hf.2006.039

Characteristics of NAEM salt-catalyzed alcohol organosolv pulping as a biorefinery

2006· article· en· W2079092796 on OpenAlexaff
Dominggus Yawalata, L. Paszner

Bibliographic record

VenueHolzforschung · 2006
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOrganosolvBiorefineryKraft processPulp (tooth)SoftwoodPulp and paper industryChemistryKraft paperSoda pulpingAlcoholLigninCatalysisOrganic chemistryRaw materialDentistry

Abstract

fetched live from OpenAlex

Abstract Characteristics of the NAEM [neutral alkali-earth metal; CaCl 2 and Mg(NO 3 ) 2 in this study] salt-catalyzed alcohol organosolv pulping of softwood were investigated and compared to AlCl 3 -catalyzed kraft pulping. The catalysts control the acidity of the cooking liquor, which is the key factor for pulping selectivity and fiber separation. The crucial role of catalysts in alcohol organosolv pulping is demonstrated. The pulp yield and quality were satisfactory. The dissolved wood components in the spent liquor have high potential to be converted into value-added co-products.

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 score0.017
Threshold uncertainty score0.884

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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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

Citations12
Published2006
Admission routes1
Has abstractyes

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