MétaCan
Menu
← Back to cohort
Record W195801434 · doi:10.1096/fasebj.20.5.a1051-d

Anthropometric measurements, selected nutrient intakes, and hemoglobin, hematocrit, and serum cholesterol values of 2‐6 y old children in Republic of Korea

2006· article· en· W195801434 on OpenAlexaboutno aff
Young‐Nam Kim, Judy A. Driskell

Bibliographic record

VenueThe FASEB Journal · 2006
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
FundersAgricultural Research Division, Institute of Agriculture and Natural Resources
KeywordsHematocritHemoglobinMedicineAnthropometryAnimal scienceCholesterolOverweightNutrientVitaminUnderweightInternal medicineEndocrinologyObesityChemistryBiology

Abstract

fetched live from OpenAlex

The objectives of this study were to determine anthropometric measurements, selected nutrient intakes, and hemoglobin, hematocrit, and serum cholesterol values of 2–6 y old Korean children. Nutrient intakes were obtained from 3 consecutive 24‐h recalls in summer, 2005. Of the 131 subjects (65 boys, 66 girls) from Kwangiu, Korea, 8.4% were underweight; 76.3%, acceptable weight; 10.7%, at risk of being overweight; and 4.6%, overweight. Hemoglobin concentrations of 3.8% were <110 g/L, 4.6% had hematocrit <0.33, and 3.8% had serum cholesterol >5.17 mmol/L. Only 6.9% had higher fat intakes than Acceptable Macronutrient Distribution Range, and 54% were lower; cholesterol intakes of 20.6% were >300 mg/d, and 17.6% had saturated fat intakes >10% kcal. Intakes Supported by Nebraska Agricultural Research Division.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

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

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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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 designObservational
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

Citations1
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicObesity, Physical Activity, Diet→French-language works237,207→