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Record W1966170240 · doi:10.1080/05704928.2013.771363

Application of Advanced Synchrotron Radiation–Based and Conventional Molecular Techniques in Recent Research on Molecular Structure, Metabolic Characteristics, and Nutrition in Coproducts from Biofuel Processing

2013· article· en· W1966170240 on OpenAlexaff
Бо Лю, Peiqiang Yu

Bibliographic record

VenueApplied Spectroscopy Reviews · 2013
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of North Carolina at Chapel Hill
KeywordsSynchrotron radiationSynchrotronMolecular spectroscopyNanotechnologyCoproductBiochemical engineeringChemistryComputer scienceMaterials scienceSpectroscopyPhysicsOpticsEngineering

Abstract

fetched live from OpenAlex

Advanced synchrotron radiation infrared microspectroscopy, as a nondestructive and rapid analytical technique, is able to simultaneously reveal the structural, chemical, and environmental features of biomaterials at cellular and molecular levels within intact tissue. However, to date, this advanced synchrotron-based technique is still seldom used by feed and nutrition scientists. This article aims to provide detailed information regarding how to apply advanced synchrotron radiation–based and conventional molecular techniques to research in coproducts from biofuel processing on the molecular structure, metabolic characteristics, and nutrition. The information described in this article provides better insight on coproduct research progress and updates with advanced synchrotron radiation-based and globar-based (conventional) molecular spectroscopy.

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)0.002
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.322
Teacher spread0.302 · 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
GenreReview

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

Citations7
Published2013
Admission routes1
Has abstractyes

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