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Record W2921437564 · doi:10.1080/05704928.2019.1581622

Recent progress in structural and nutritional characterization of faba legume and use as an environment probe with vibrational spectroscopy sourced by globar and synchrotron

2019· article· en· W2921437564 on OpenAlexaff
María E. Rodríguez‐Espinosa, Víctor H. Guevara‐Oquendo, Baoli Sun, Huihua Zhang, Peiqiang Yu

Bibliographic record

VenueApplied Spectroscopy Reviews · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural pest management studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSpectroscopyFourier transform infrared spectroscopyMolecular spectroscopyInfrared spectroscopyChemistryCharacterization (materials science)LegumeFourier transform spectroscopySynchrotronMolecular vibrationAnalytical Chemistry (journal)InfraredMaterials scienceMoleculeNanotechnologyOpticsPhysicsOrganic chemistryBotanyBiology

Abstract

fetched live from OpenAlex

This article aims to review molecular structure association with nutrient metabolism of faba bean (FB) legume as well as uses as an environment probe using vibrational molecular spectroscopy with chemometics including univariate and multivariate techniques. The review focused on molecular structural and nutritional characterization and interaction of FB-legume and updated methods with molecular spectroscopy techniques with attenuated total reflectance Fourier-transform infrared spectroscopy (FTIR), synchrotron-radiation FTIR microspectroscopy, and diffuse reflectance infrared Fourier-transform spectroscopy to study FB-legume molecular structures. This article shows how to systematically use vibrational molecular spectroscopic techniques to study molecular structure and nutrition interaction of FB-legume.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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