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Record W2019974955 · doi:10.1002/app.36554

Carbon fibers based on pyrolytic lignin

2012· article· en· W2019974955 on OpenAlex
W. Qin, John F. Kadla

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 Applied Polymer Science · 2012
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPyrolytic carbonLigninCarbonizationMaterials scienceSpinningFiberRaw materialPyrolysisCelluloseBiofuelCarbon fibersChemical engineeringComposite materialPulp and paper industryOrganic chemistryChemistryComposite numberWaste managementScanning electron microscope

Abstract

fetched live from OpenAlex

Abstract Carbon fibers were prepared from pyrolytic lignin isolated from a commercial bio‐oil by thermal spinning followed by carbonization. Compared to other technical lignins, a lower spinning temperature was required for the pyrolytic lignin. The pyrolytic lignins tended to develop fibers with hollow structures and were observed to fuse together during thermostabilization. However, a thermal treatment before fiber spinning was found to maintain the fiber integrity during thermostabilization and the following carbonization process. The mechanical properties and yield of the pyrolytic‐lignin‐based carbon fiber was found to be comparable to those based on other technical lignins. This work serves as a proof‐of‐concept study indicating pyrolytic lignin as a potential feedstock for low‐cost carbon‐fiber production. © 2012 Wiley Periodicals, Inc. J Appl Polym Sci, 2012

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 score0.230
Threshold uncertainty score0.356

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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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