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Record W2172665518 · doi:10.1111/nyas.12963

Estimation of population iodine intake from iodized salt consumed through bouillon seasoning in Senegal

2015· article· en· W2172665518 on OpenAlex
Rebecca Spohrer, Jacqueline Knowles, Vincent Jallier, Banda Ndiaye, Caroline Indorf, Philippe Guinot, Roland Kupka

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.

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2015
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsIntertek (Canada)Nutrition International
Fundersnot available
KeywordsIodineIodised saltSeasoningFood scienceSalt (chemistry)PopulationIodine deficiencyFortificationChemistryMedicineEnvironmental healthOrganic chemistry

Abstract

fetched live from OpenAlex

Universal salt iodization (USI) is the main global strategy to eliminate iodine deficiency. Regulation of USI programs often omits salt used in processed foods, despite their increasing contribution to salt intake. In West Africa, bouillon seasoning is a widely consumed source of salt and is therefore relevant to USI effectiveness. To develop program guidance around iodine in bouillon, iodine retention in 13 bouillon brands commercially available in Senegal was measured over 6 months. Iodine content was measured in broth using various water volumes and cooking times, as well as in rice cooked in the broth. Average iodine loss in bouillon over 6 months in 95% humidity at 40-40.5 °C was 4.5% (13.6% for cubes and 0.8% for powder sachets). Iodine was retained in broth with cooking times of up to an hour and in rice cooked in broth. Modeling of contribution to iodine intake revealed that bouillon is an important source of dietary iodine in Senegal. Results may inform salt iodization standards and regulation in Senegal and countries with similar bouillon consumption levels.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.176
GPT teacher head0.400
Teacher spread0.224 · 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