HUBUNGAN OBESITAS, POLA MAKAN DAN CAKUPAN KUNJUNGAN ANTENATAL CARE DENGAN KEJADIAN PREEKLAMPSIA PADA IBU HAMIL TRIMESTER III
Bibliographic record
Abstract
ABSTRAK Latar Belakang : Preeklampsia ialah penyakit dengan tanda meningkatnya tekanan darah >140/90mmHg disertai proteinuria serta edema yang muncul di usia kandungan >20/hingga 48 jam postpartum.Tujuan : Tujuan penelitian untuk melihat kaitan obesitas, pola makan, dan cakupan kunjungan ANC dan preeklampsia pada ibu hamil trimester III.Penelitian ini dilakukan di Wilayah Kerja Puskesmas Keramasan Palembang Agustus tahun 2021.Metode : Adapun metode survey analitik dengan pendekatan Cross Sectional dipilih dalam peneltian ini.Sampel ada 32 responden yang diambil secara Accidental Sampling.Dalam penelitian ini teknik yang dipakai oleh peneliti berupa teknik pengumpulan data primer.Analisis data univariate menggunakan distribusi frekuensi, sedangkan analisis bivariate menggunakan Chi Square dengan Stastitical Product Servise Solution (SPSS) versi 26.Hasil : Hasilnya ditemukan hubungan yang signifikan dari obesitas (PValue = 0,003) pola makan (PValue = 0,009) dan preekalmsia.Dan, tidak terdapat kaitan yang signifikan dari cakupan kunjungan ANC dengan preeklampsia PValue = 1,000.
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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 | 0.001 | 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 | 0.001 | 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) | 0.015 | 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".