MétaCan
Menu
Back to cohort
Record W6911768421 · doi:10.5281/zenodo.15098533

Advanced Food and Nutritional Sciences

2025· other· en· W6911768421 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
Fundersnot available
KeywordsLicenseDirectoryWork (physics)Free accessScholarly communicationPublic healthPublic accessInformation Dissemination

Abstract

fetched live from OpenAlex

Journal of Food and Nutrition Sciences is a peer-reviewed open access journal published annually. It aims to foster a wider academic interest in food and nutrition field. Research articles, field process reports, short communications, book reviews, symposia proceedings and review articles are accepted in this journal. This journal protect the health and safety of consumers by reducing food-related risks as it supports public health by promoting healthy food choices; maintaining and enhancing the nutritional qualities of food and responding to specific public health concerns. ISSN 2563-1640doi: http://dx.doi.org/10.21065/25631640Key title: Advanced Food and Nutrition Sciences Abbreviation: Adv Food Nut SciOpen Journal Systems (OJS) of Public knowledge Project (PKP) Nature: Online Frequency: Annual Starting year: 2016 Submission: Online Language: English Open Access Compliance: Advanced Food and Nutrition Sciences is open access Journal that comply with definition of Directory of Open Access Journals (DOAJ) to fulfil the requirements of open access. DOAJ is an independent database contains over 16500 peer-reviewed open access journals covering all areas of science, technology, medicine, social sciences, arts and humanities. Therefore, we grant the copyrights of scholarly published work for the usage of open license as described by Creative Commons. That allow the immediate free access to the work and permitting any user to read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose. Thus, our contents are freely available without subscription without delay. Major indexing Jisc - Joint Information Systems Committee, Bristol UK Submission provide secure, cost-effective access to richest collection of digital content: giving access to the latest data and content from leading international publishers and providers. Our Ref.: IN:01058040. Ref.: IN:01058040 | https://v2.sherpa.ac.uk/id/publisher/63959 Scilit is the combination of “scientific” and “literature”, the database of scholarly works is developed and maintained by the open access publisher MDPI. Scilit crawlers extract the latest data from CrossRef and PubMed and make it accessible immediately. EuroPub is a comprehensive, multipurpose database covering scholarly literature, with indexed records from active, authoritative journals, and indexes articles WorldCat is the world's largest network of library content and services, dedicated to providing access to their resources on the Web, where most people start their search for information. Index Copernicus International ul.Kasprzaka 31A/184 01-234 Warsaw +48 22 487 53 93 www.indexcopernicus.com ORCID is connecting research and researchers worldwide. It is community built organization and governed by directors and supported by dedicated staff. ORCID ID: https://orcid.org/0000-0002-3472-9292 | https://orcid.org/0000-0002-3472-9292/print Links: OJS/PMS; PMS; Wikidata; FATCAT; ISSN; Google; Bing; Yahoo; CrossRef; Facebook; Linkedin; Tweet; Instagram; CYLEX Canadian Businesses Suject and scope Advanced Food Processing Technologies, Amino acid Supplements, Animal & Plant Nutrition, Bodybuilding Nutrition, Celery Nutrition, Childhood Obesity, Clinical Sports Nutrition, Creatine Sports Nutrition, Dates Nutrition, Diabetes Nutrition, Food chemistry, Food physical chemistry, Food engineering, Food microbiology, Food packaging, Food preservation, Food substitution, Food technology, Molecular gastronomy, Quality control, Sensory analysis, Macronutrients, Protein, Carbohydrates, Fiber, Fat, Essential fatty acids, Alcohol (ethanol), Micronutrients, Minerals, Macrominerals, Trace minerals, Vitamins, Phytochemicals, Intestinal bacterial flora, Animal nutrition, Plant nutrition, Food policies and regulations, Food programs and education, Nutrition literacy, Malnutrition, Insufficient, excessive and/ or unbalanced diet, Illnesses caused by deficient nutrient consumption, Mental agility, and Processed foods.

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)0.004
metaresearch head score (Gemma)0.012
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 score0.291
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0030.002
Scholarly communication0.0110.005
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2910.178

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 head0.035
GPT teacher head0.281
Teacher spread0.246 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicConsumer Attitudes and Food LabelingFrench-language works237,207