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Record W2765552466 · doi:10.1111/ijfs.13656

A preliminary investigation into differences in hops’ aroma attributes

2017· article· en· W2765552466 on OpenAlexafffundabout
Susan Barry, Elizabeth Muggah, Matthew B. McSweeney, Shane Walker

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsUniversity of GuelphAcadia University
FundersAcadia University
KeywordsHop (telecommunications)AromaNova scotiaHumulus lupulusGeographyHorticultureBiologyFood scienceArchaeologyComputer science

Abstract

fetched live from OpenAlex

Summary Consumers are welcoming the use of locally sourced ingredients in their beer, and hops are now beginning to be grown in new regions. One new region is the province of Nova Scotia, Canada. Four different hop varieties (Cascade, Mt. Hood, Golding and Nugget) were sourced from Nova Scotia, and matching varieties (Cascade, Mt. Hood and Nugget) were sourced from Oregon, USA , and England, UK . The main objective of this study was to identify whether differences in the hop aroma exist based on their geographic origin. Projective mapping trials ( n = 2) were conducted for the aroma of all eight hops varieties. The first trial utilised crushed whole‐leaf hops, while the second consisted of a dry‐hopped conventional Canadian lager. Results indicated that there are differences in the hop aromas of both whole‐leaf hops and dry‐hopped lager.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.278
Teacher spread0.237 · 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 teacher head, 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

Citations20
Published2017
Admission routes3
Has abstractyes

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