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Record W3008537338 · doi:10.1080/03610470.2020.1712641

A Review of Cyclic and Oxidative Bitter Derivatives of Alpha, Iso-Alpha and Beta-Hop Acids

2020· review· en· W3008537338 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American Society of Brewing Chemists · 2020
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicHops Chemistry and Applications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHop (telecommunications)ChemistryFermentationAlpha (finance)Oxidative phosphorylationOrganic chemistryBiochemistryMathematicsComputer science

Abstract

fetched live from OpenAlex

In the last decade, with the combined application of high efficiency preparation techniques, high resolution HPLC MS/MS and sophisticated NMR technologies, novel bitter derivatives of α-, iso-α-, β-acids have been identified in beer and model solutions, which has updated our knowledge of hop chemistry. In this review, newly identified cyclic and oxidative products of α-, iso-α-, β-acids in hops and beer, have been comprehensively described to give brewers a more in depth understanding of hop and beer bitterness chemistry. A total of 39 unique substances: 15 derived from α-acids, 15 from iso-α-acids, and 9 derived from β-acids are elucidated, including their structures, suggested formation mechanism, distribution profiles in model solutions or beer, reactions during fermentation, thresholds of some of these compounds, and their evolution during storage.

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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.457
Teacher spread0.340 · 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