MétaCan
Menu
Back to cohort
Record W2022865199 · doi:10.1094/cchem-01-13-0004-fi

On the Building Block and Backbone Concepts of Amylopectin Structure

2013· article· en· W2022865199 on OpenAlexaff
Eric Bertoft

Bibliographic record

VenueCereal Chemistry · 2013
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAmylopectinAmyloseChemistryStarchPolymerPolymer scienceSugarPolysaccharideGranule (geology)Organic chemistryPolymer chemistryChemical engineeringMaterials science

Abstract

fetched live from OpenAlex

ABSTRACT The molecular structure of the starch components has been a focus of research since it was discovered that starch is transformed into sugar by treatment with acid or barley malt extract in the beginning of the 19th century. Only in 1940 was it definitely recognized that starch contains two glucan polymers, wherein amylose was defined as the linear component and amylopectin as the branched polymer. Since then, the structure of amylopectin has been exhaustively investigated, and during the years several models have been suggested, of which the cluster model has obtained the most acceptance. During the last decade, however, experimental results have been obtained that are not entirely in favor of this model, and an alternative, two‐directional backbone model was proposed. This article discusses the latter model and its impact on our understanding of the structure, properties, and synthesis of the starch granule.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.235
Teacher spread0.226 · 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

Citations169
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCereal ChemistrySame topicFood composition and propertiesFrench-language works237,207