MétaCan
Menu
← Back to cohort
Record W2485030929 · doi:10.1201/b19490-23

Cranberry Juice

2016· book-chapter· en· W2485030929 on OpenAlexaboutno aff
Monique Lacroix, Khanh Dang Vu

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsnot available
Fundersnot available
KeywordsFood scienceChemistry

Abstract

fetched live from OpenAlex

Cranberry juice is processed from cranberry fruit and is of growing public interest as a functional food because of the potential health benets linked to its phytochemicals [1]. There are two main cranberry species, the North American cranberry (Vaccinium macrocarpon) and the European cranberry (Vaccinium oxycoccos) [2]. According to Statistics Canada [3], cranberry sales were US$94 million in 2013, accounting for more than 11% to the Canadian total sales of all fruits, which is US$825 million. Cranberry fruits used for processing are normally stored in containers under frozen conditions after harvesting. About 95% of the cranberry fruits are processed into products such as juice (pure or cocktail), sauce, sweetened, and dried. The remaining 5% are sold for fresh consumption. Approximately 1.5 kg of fresh fruits produces 1 L of juice. Cranberry juice cocktail is approximately 26%–33% pure cranberry juice, sweetened with fructose or an articial sweetener [4,5].

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.122
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1220.057

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 head0.020
GPT teacher head0.248
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicPhytochemicals and Antioxidant Activities→French-language works237,207→