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SUPERCRITICAL CARBON DIOXIDE PERCOLATION OF SEA BUCKTHORN PRESS JUICE<sup>1</sup>

2004· article· en· W1965397873 on OpenAlexaff
Thomas Beveridge, Margaret A. Cliff, Phillip M. Sigmund

Bibliographic record

VenueJournal of Food Quality · 2004
Typearticle
Languageen
FieldMedicine
TopicPhytochemical and Pharmacological Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsChemistryOrange juiceFood scienceSupercritical carbon dioxideTitratable acidFruit juiceSucroseCarbon dioxideOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT Sea buckthorn press juice was subjected to percolation with supercritical carbon dioxide at 13.8 and 27.6 MPa. Control juice was not percolated. Percolation extracted about 81 % of the oil present in the press juice, lightened the orange color compared with the control juice, and changed the character of the juice as perceived by observers. Percolated juices had no visible particulate that adhered to glass surfaces as did the control juice. All juices were perceived by taste panelists as to be very sour, and it was decided to sweeten the juices with 10% sucrose before proceeding with sensory evaluations. Control juice was more yellow and thicker in consistency than the percolated juices which did not differ from each other. Juices prepared by 27.6 MPa percolation were more frequently reported as having citrus and peach‐like quality attributes compared with either of the other two juices. Analytical values for protein, oil, moisture, titratable acidity and pH were reported for the juices. Light microscopy indicated a lower oil content in the percolated juices and that the particle sizes were smaller in the percolated juices. Some morphological characteristics of the particles in both juice types are described.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.087
GPT teacher head0.373
Teacher spread0.286 · 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 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

Citations5
Published2004
Admission routes1
Has abstractyes

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