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Record W4281651838 · doi:10.36760/jp.v3i2.329

Analisa Kebutuhan Nutrisi Balita Wilayah Cilacap (Ditinjau Dari Aspek Imunologi)

2022· article· id· W4281651838 on OpenAlexaff
Yusuf Eko Nugroho, Rusana Rusana, Ira Pangesti

Bibliographic record

VenuePharmaqueous Jurnal Ilmiah Kefarmasian · 2022
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsToxicologyMedicineBiology

Abstract

fetched live from OpenAlex

Nutrisi menjadi salah satu faktor penentu sistem kekebalan tubuh atau yang dikenal dengan imunonutrisi. Penelitian yang dilakukan merupakan penelitian menggunakan desain penelitian deskriptif kuantitatif dengan metode penelitian single case riset. penelitian ini akan dilakukan di posyandu di Cialcap selama 2 bulan dengan usia 6-24 bulan. Hasil penelitian didapatkan data sebanyak 39 responden dengan metode kuesioner. Variable yang diamati adalah ausupan Karbohidrat, Lemak, Protein, Buah, Sayur. MPASI, ASI. Diperoleh data bahwa 97.4% balita sudah diberikan karbohidrat dalam bentuk nasi, sedangkan 1 balita atau 2.6% diberikan karbohidrat dalam bentuk yang lainnya. sebanyak 71.8% balita mendapatkan lemak dari minyak goring, 17.9% dari mentega dan 10.3% belum mendapatkan tambahan lemak. 97.4% mengkonsumsi protein baik nabati dan protein hewani. Sedangkan 2.6% belum mengkonsumsi keduanya. 97.4% mengkonsumsi buah dan sayur. Sedangkan 2.6% belum mengkonsumsi buah dan sayur. 76.9% balita mengkonsumsi ASI eksklusif dan 23.1% konsumsi ASI dan susu formula (kombinasi). konsumsi makananan pendamping asi yang buatan sendiri (homemade) sebesar 71.8%. sedangkan 28.2% mengkonsumsi bubur instan.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations3
Published2022
Admission routes1
Has abstractyes

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