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Record W1997965740 · doi:10.1089/omi.2008.0047

Knowledge and Attitudes of Canadian Consumers and Health Care Professionals Regarding Nutritional Genomics

2009· article· en· W1997965740 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOMICS A Journal of Integrative Biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNutrigenomicsFocus groupDieticiansHealth carePublic relationsPublic healthMedicineBusinessMarketingNursingPolitical science

Abstract

fetched live from OpenAlex

With advances in the field of nutrigenomics, commercial laboratories have begun marketing genotyping services, nutritional advice, and dietary supplements "tailored" to match individual genetic predispositions. Although primarily offered by American companies, these services are available to Canadian consumers via the Internet. Qualitative research in the form of focus groups with members of the Canadian public was undertaken to assess the current level of understanding of and receptivity toward this new genomic application. Additionally, focus groups with health care professionals (physicians, pharmacists, dieticians, nutritionists, and naturopaths) investigated their interest in integrating nutrigenomics into health care delivery, and their capacity to do so. Gauging knowledge and attitudes early in the introduction of a new technology serves to identify potential "blind spots" regarding the ethical, legal, and social implications. Preliminary results indicate consumers believe potential benefits of nutrigenomics outweigh risks, while health care professionals express more skepticism. Both groups agree that more public education about nutrigenomics is needed and that regulatory oversight should ensure consumer protection.

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.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.019
GPT teacher head0.328
Teacher spread0.308 · 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