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Record W4384207333 · doi:10.1002/cche.10694

Introduction to Volume 100, Number 4

2023· article· en· W4384207333 on OpenAlexaboutno aff
Les Copeland

Bibliographic record

VenueCereal Chemistry · 2023
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
FundersUniversity of Sydney
KeywordsLibrary scienceAgricultural experiment stationGluteninChemistryAgricultural economicsAgricultureGeographyArchaeologyEconomics

Abstract

fetched live from OpenAlex

C. H. Bailey, University of Minnesota, USA (1924–1930) D. A. Coleman, U.S. Department of Agriculture, USA (1931–1938) M. J. Blish, Agricultural Experiment Station, Lincoln, NE, USA (1939–1943) W. F. Geddes, University of Minnesota, USA (1944–1962) K. A. Gilles, North Dakota State University, USA (1963–1967) W. G. Bechtel, American Institute of Baking, USA (1968–1977) P. E. Ramstad, American Maize Products Co., USA (1978–1984) Y. Pomeranz, Kansas State University, USA (1985–1992) J. J. Warthesen, University of Minnesota, USA (1993) V. F. Rasper, University of Guelph, Canada (1994–1999) J. M. Faubion, Kansas State University, USA (2000–2001) R. C. Hoseney, Kansas State University, USA (2002–2012) C. F. Morris, USDA-ARS-WWQL, USA (2013–2015) L. Copeland, University of Sydney, Australia (2016–current). One of my objectives going forward is to encourage the submission of more topical review articles. Hence, I invited a series of Centenary Reviews from eminent grain scientists; three of these distinguished reviews have already been published in Volume 100, and others will be published in subsequent issues. It is also noteworthy that among the many excellent papers published so far in Volume 100 of Cereal Chemistry, there are seven other reviews on the following topics: the chemistry of wheat gluten; contribution of glutenin and puroindoline proteins to wheat grain quality; advances in the development of multigrain bread; substitution of sugar with xylitol and maltitol in cakes; increasing whole grain intake within the Special Supplemental Nutrition Program for Women, Infants, and Children; and biotechnological approaches to improving aromas and flavors of legume-derived food products. I commend these excellent articles to you. I see my role as Editor-in-Chief as a facilitator, rather than a gatekeeper, for publishing high-quality research that connects with a broad readership. I look forward to reading submissions from your research and to making the experience of publishing in Cereal Chemistry rewarding and enjoyable. Open access publishing facilitated by The University of Sydney, as part of the Wiley—The University of Sydney agreement via the Council of Australian University Librarians.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.999

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)0.0020.006

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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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