The Relationship between Health Services and Stunting Incidence in Toddlers at POSYANDU Padasuka Bandung Regency
Bibliographic record
Abstract
menggunakan pendekatan observasional analitik dengan rancangan case-control restrospektif.Sampel dalam penelitian ini sebanyak 60 balita yang meliputi 30 kelompok kasus dan 30 kelompok kontrol, Teknik pengambilan sampel menggunakan teknik purposive sampling dengan menggunalan Analisa uji chi-square.Hasil penelitian ada hubungan yang bermakna antara pemeriksaan kehamilan (p= 0,001, OR=38.500,95% CI:7.416-199.875),konsumsi tablet Fe (p=0,001, OR= 38.000 95% CI: 7.416-199.875),kunjungan ke posyandu (p=0,001 OR=14.00095% CI:2.818-69.562)dan status imuisasi (p=0,001 OR=10.286,95% CI:2.557-41.372)dengan kejadian Stunting.Saran bagi
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".