KURANGI EMESIS GRAVIDARUM DENGAN AROMA JERUK NIPIS
Bibliographic record
Abstract
Emesis gravidarum is vomiting in pregnant women (Medical Dictionary). This situation is usually preceded by nausea (Nausea). In the United States and Canada between 400,000 and 350,000 pregnant women experience the incidence of nausea and vomiting each year in Western countries and urban dwellers. According to Hernawati, et al. (2014) in Indonesia, there are 69.2% of pregnant women who experience nausea and vomiting and 30.8% do not experience nausea and vomiting during pregnancy, from 52 samples taken. Based on a survey through interviews conducted on 2 pregnant women at PMB Masrufah, SST, Jaddih, Bangkalan, said that their nausea and vomiting would be reduced when using kissed lime. The method used to carry out community service is by collecting data on the number of pregnant women in PMB Masrufah, SST, Jaddih, then conducting interviews with mothers about understanding nausea and vomiting and handling nausea and vomiting, then making a time contract with the mother. The activity was continued with nausea and vomiting counseling, training in the management of nausea and vomiting by giving the aroma of lime which was held at PMB Masrufah, SST, Jaddih. Participants in the activity were 35 pregnant women but there were 20 pregnant women who experienced emesis gravidarum at PMB Masrufah, SST, Jaddih, Bangkalan who participated in the training activity of giving lime aroma to pregnant women with nausea and vomiting. While participating in the activity, the mother was very enthusiastic about the material presented. The mother was also able to demonstrate the aroma therapy of lime. The result of the activity is a decrease in the intensity of nausea and vomiting after being given lime aroma therapy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.013 | 0.003 |
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".