GAMBARAN PENGETAHUAN IBU HAMIL TENTANG HYPEREMESIS GRAVIDARUM DI WILAYAH KERJA PUSKESMAS BATANGTORU TAHUN 2024
Bibliographic record
Abstract
Pregnancy can cause changes such as an increase in hormones, one of which is nausea and vomiting. Hyperemesis Gravidarum is excessive nausea and vomiting in pregnant women which causes activities to be disrupted and the mother's condition worsens. The purpose of this study was to determine the description of the knowledge of pregnant women about hyperemesis gravidarum in the Batangtoru Community Health Center Work Area in 2024. This type of research is quantitative with descriptive method. The population in this study were first trimester pregnant women in the Batangtoru Community Health Center Work Area as many as 31 people December 2023 - February 2024, and the number of samples in this study were 31 people using the total sampling method. The analysis used was univariate. The results of the analysis showed that the knowledge of pregnant women about hyperemesis gravidarum in less knowledge as many as 12 people (38.7%). It is recommended for pregnant women to be more active in seeking information to health workers so that mothers get counselling about hyperemesis gravidarum and the dangers that can be caused to mothers and children so as to increase the knowledge of pregnant women about hyperemesis gravidarum.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.008 | 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".