Hubungan Pemberian Makanan Pendamping Asi Dini dengan Status Gizi Bayi 0-11 Bulan di Puskesmas Bangko Rokan Hilir
Bibliographic record
Abstract
The issue in this research is still low percentage breast-fed exclusive and high the percentage of granting dishes - breast milk early in infants 0-11 month in districts chart of the western region of work puskesmas Bangko Rokan Hilir. This research aimed at granting dishes - breast milk early to see relations with nutrition status of baby 0-11 months in districts chart of the western region of work puskesmas Bangko Rokan Hilir. This research is research quantitative with the type of design research cross sectional. Held in districts chart of the western region of work puskesmas bangko rokan hilir from the date 20 may to 20 june 2011, with the number of samples taken with 67 a respondent who uses the technique proportionate random sampling. An interview conducted with a method of collecting data and analysis using a questionnaire used is univariat, bivariat duiji by test chi-square and multivariate tested with the regression safinat logistic uppercut. This research result got that the prevalence of malnutrition by 31,1 %.The average age of granting dishes - breast milk early & < six months of 59,7 %.Analysis of the results obtained the multivariate meaningfui relations between the provision of dishes - breast milk early with nutrition status of baby 0-11 months. An infant who is given dishes - breast milk < six months have a chance the baby ' s status is not normal nutrition 16,694 times compared with an infant who is given dishes - breast milk > six months after controlled by education, knowledge and work
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".