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Record W3119440916 · doi:10.1039/d0gc03855e

Double bonus: surfactant-assisted biomass pelleting benefits both the pelleting process and subsequent enzymatic saccharification of the pretreated pellets

2021· article· en· W3119440916 on OpenAlexaff
Chunxiao Gong, Nathan Bryant, Xianzhi Meng, Samarthya Bhagia, Yunqiao Pu, Donglin Xin, Christian Koch, Claus Felby, Lisbeth Garbrecht Thygesen, Arthur J. Ragauskas, Sune Tjalfe Thomsen

Bibliographic record

VenueGreen Chemistry · 2021
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsInstitute for Biological Sciences
FundersOak Ridge National LaboratoryBiological and Environmental ResearchCenter for Bioenergy InnovationOffice of ScienceEnergiteknologisk udviklings- og demonstrationsprogramEnergistyrelsenMinisterio de Economía y CompetitividadUT-BattelleBattelleChina Scholarship CouncilU.S. Department of Energy
KeywordsPelletsChemistryHydrolysisEnzymatic hydrolysisPulp and paper industryPulmonary surfactantBiomass (ecology)PelletEnzymeFood scienceChemical engineeringBiochemistryMaterials scienceAgronomyBiologyComposite materialEngineering

Abstract

fetched live from OpenAlex

A novel biomass processing approach that adding surfactant during pelleting and using the pellets for pretreatment and enzymatic saccharification was 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.016
GPT teacher head0.207
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations33
Published2021
Admission routes1
Has abstractyes

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