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Record W2562725096 · doi:10.1080/15440478.2016.1212766

Paper Properties of Typha Latifolia, Pennisetum Alopecuroides, and Agave Americana Fibers and Their Effect as a Substitute for Kraft Pulp Fibers

2016· article· en· W2562725096 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

VenueJournal of Natural Fibers · 2016
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsAgaveKraft paperPulp (tooth)Kraft processMaterials sciencePulp and paper industryBambooComposite materialPennisetumFiberBotanyBiologyDentistry

Abstract

fetched live from OpenAlex

In this study, we have extracted and bleached fibers from three plants (Typha latifolia, Agave americana, and Pennisetum alopecuroides). The obtained pulp contains more than 50% of fines and fibers with lengths not exceeding 1 mm. Generally, the amount of fines depends on fiber source, fiber morphology, pulping conditions, and the extent of mechanical treatment. Handsheets were produced with plant fibers alone or mixed (in different percentages: 7.5%, 15%, 22.5%, and 30%) with a commercial kraft pulp. The mechanical and optical properties of the sheets (breaking length, tear index, young modulus, whiteness, and opacity) show that plants could be used as a substitute fiber supply for the paper industry. However, fines were hardly retained in the sheets. A model to explain the removal of fines is proposed.

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 score0.010
Threshold uncertainty score0.519

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 head0.004
GPT teacher head0.186
Teacher spread0.182 · 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