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Record W4312613869 · doi:10.1039/d2gc02774g

One-pot conversion of engineered poplar into biochemicals and biofuels using biocompatible deep eutectic solvents

2022· article· en· W4312613869 on OpenAlexaff
Kwang Ho Kim, Yaseen Mottiar, Keunhong Jeong, Phuong Hoang Tran, Ngoc Tuan Tran, Jingshun Zhuang, Chang-Soo Kim, Hyunjoo Lee, Gyeongtaek Gong, Ja Kyong Ko, Sun‐Mi Lee, So Young Kim, Ji Yeon Shin, Hanseob Jeong, Hyun Kyu Song, Chang Geun Yoo, Nak‐Kyoon Kim, Shawn D. Mansfield

Bibliographic record

VenueGreen Chemistry · 2022
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsUniversity of British Columbia
FundersKorea Institute of Science and TechnologyNational Research Foundation of KoreaNational Institute of Forest Science
KeywordsBiocompatible materialEutectic systemLigninBiofuelDeep eutectic solventChemistryConsolidation (business)Chemical engineeringMaterials scienceNanotechnologyOrganic chemistryWaste managementEngineeringBiomedical engineeringBusiness

Abstract

fetched live from OpenAlex

Integrating plant cell wall engineering and process consolidation using biocompatible deep eutectic solvents could enable the development of sustainable biorefineries that effectively utilize both carbohydrates and lignin.

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 score0.014
Threshold uncertainty score0.732

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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