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CENTRIFUGAL YIELD AND FURTHER MICROSCOPIC CHARACTERIZATION OF SEA BUCKTHORN JUICE PRODUCTS

2005· article· en· W1983533458 on OpenAlexaff
T. Beveridge, Jayne Harrison

Bibliographic record

VenueJournal of Food Quality · 2005
Typearticle
Languageen
FieldMedicine
TopicPhytochemical and Pharmacological Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsHippophae rhamnoidesPelletYield (engineering)Food scienceChemistryTrichomeCentrifugationBotanyHorticultureBiologyChromatographyMaterials science

Abstract

fetched live from OpenAlex

ABSTRACT Yields of press juice for Hippophae rhamnoides ssp. sinensis and ssp. mongolica cv. Indian Summer were 69.2% and 62.8%, respectively. Centrifugation of the press juices at 4C, 4480 × g for 15 min provided yields of cream, serum and pellet of 1.72, 95.6 and 0.68% for ssp. sinensis, and 5.4, 92.3 and 0.32% for ssp. mongolica cv. Indian Summer. All percentages are percentage (w/w). The particulate of each juice was characterized microscopically and the particulate of cv. Indian Summer was much larger than that of ssp. sinensis. Much more oil was apparent microscopically in the cv. Indian Summer cream as expected from the yield data mentioned above. Pellet material was not distinguishable between the two ssp. Trichomes were visualized in greater detail, a particular particle that may be exclusive to cv. Indian Summer was described and the presence of crystalline material in aggregated particles was observed.

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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.068
GPT teacher head0.346
Teacher spread0.278 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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