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Record W2801685203 · doi:10.1094/asbcj-2017-3638-01

The Bitter, Twisted Truth of the Hop: 50 Years of Hop Chemistry

2017· article· en· W2801685203 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 · 2017
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicHops Chemistry and Applications
Canadian institutionsMiller Group (Canada)
Fundersnot available
KeywordsHop (telecommunications)BrewingFlavorComputer scienceCraftChemistryBiochemical engineeringNanotechnologyFood scienceMaterials scienceTelecommunicationsEngineeringFermentationArt

Abstract

fetched live from OpenAlex

Over the last century, the brewer's archetype of hop chemistry, hopping technology, hop utilization, and hop flavor has substantially transformed. During the 1950s Miller Brewing Company began pioneering work to unravel some of the mysteries of hop chemistry. This work, combined with research findings from various other groups throughout the world, revolutionized the industry. Such realizations of hop chemistry and hop technology in addition to the widening array and understanding of aromatic hop varieties allow the modern practical brewer a diverse palette of hopping choices to ensure production of highly consistent, flavorful, quality beers. Today, brewers may artfully and innovatively craft beers with enhanced properties such as light stability, increased foamability/ head retention, enriched hop flavors, optimized beer mouthfeel, increased hop utilization, and improved microbial and flavor stability. This paper guides the reader through a history of hop chemistry, revealing the “bitter, twisted truth of the hop” from the discovery of hop acids and their transformations to the many innovations that led to the development of advanced hops and novel hop products necessary for the successful development of new and novel beer brands of consistent quality in a large brewery scenario. This paper also provides a framework from which the smaller, craft brewer can take advantage of the more recent developments in hop chemistry to gain enhanced quality, consistency, economy, and novelty moving forward.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.070
GPT teacher head0.412
Teacher spread0.342 · 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