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Record W2329025900 · doi:10.1021/jf2042328

Food and Biomass Potential of <i>Prunus virginiana</i> L. (Chokecherry)

2012· article· en· W2329025900 on OpenAlexafffund
Sunmin Wang, Lester Young, Amberly Faye, Bonnie Li, Johanna Clancy, Bob Bors, Martin J. T. Reaney

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsCanolaBiomass (ecology)AgronomyPrunusNitrogenHorticulturePulp (tooth)BotanyChemistryBiology

Abstract

fetched live from OpenAlex

Prunus virginiana L. (chokecherry) fruit has potential to provide both food and energy and as annual yield of biomass and energy are much greater than annual crops such as canola and wheat. We determined chokecherry fruit weight fractions as well as pit and extracted seed oil concentrations and fatty acid composition. Gross energy for each of the fractions was determined, as were carbon and nitrogen content. Extrapolation of these data suggests that gross energy from pits alone over a 24-year period (890 GJ·ha(-1)) is equivalent to that from an entire canola/wheat rotation (850 GJ·ha(-1)). After maturity, pulp contributes an additional 1130 GJ·ha(-1) over 21 years from ~3.4 t·ha(-1)·year(-1) (dw), while wood from pruning could add another 60 GJ·ha(-1)·year(-1). Over this time period, chokecherry would produce 1.5-2.5 times the amount of oil produced by a canola/wheat rotation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.205
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2012
Admission routes2
Has abstractyes

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Same venueJournal of Agricultural and Food ChemistrySame topicCassava research and cyanideFrench-language works237,207