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Record W6922098350 · doi:10.1139/cjps-2014-120

Aroma and flavour properties of Saskatchewan grown field peas (Pisum sativum L.)

2014· article· en· W6922098350 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBioOne Complete (BioOne) · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAromaFlavourSativumField peaCultivarSweetnessCrop

Abstract

fetched live from OpenAlex

Malcolmson, L., Frohlich, P., Boux, G., Bellido, A-S., Boye, J. and Warkentin, T. D. 2014. Aroma and flavour properties of Saskatchewan grown field peas (Pisum sativum L.). Can. J. Plant Sci. 94: 1419-1426. The aroma and flavour properties of cooked field peas (Pisum sativum L.) were evaluated by a trained sensory panel. Two to four cultivars within four market classes of pea (yellow, green, marrowfat and dun) grown in two locations in Saskatchewan over 2 crop years were evaluated. Panelists found the greatest differences in aroma and flavour properties among market classes, although significant differences were also found among crop year for the aroma attributes of cooked vegetable, earthy, brothy, grainy, hay-like and metallic and the flavour attributes of pea and bitterness. There was also a significant cultivar by crop year interaction for metallic and pea flavor. Dun peas had low intensity scores for sweetness, bitterness and pea flavour. Both green and marrowfat peas had high intensity scores for sweetness and pea flavour. Green peas also had high intensity scores for pea, cooked vegetable, earthy and metallic aroma. Yellow peas had high intensity scores for pea flavour and pea, cooked vegetable and earthy aroma. Differences were found among the four cultivars of yellow peas for bitterness, pea flavour, and pea and earthy aroma. For green peas, differences were found among the three cultivars for pea flavour and aroma. The only difference found among the two cultivars of marrowfat peas was for sweetness. No differences were found between the two cultivars of dun peas. For all pea market classes, milder flavour and aroma may be beneficial in some whole pea or pea flour applications.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.330

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)0.0000.000

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 head0.203
GPT teacher head0.190
Teacher spread0.012 · 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