Benefits of biopharmaca products towards healthy Indonesia
Bibliographic record
Abstract
Abstract Biopharmaca is a biological preparation that comes from nature that has properties as a medicine. Biopharmaca products are categorized into three types, namely herbal medicine, standardized herbal medicine (OHT), and phytopharmaca. The research objective is to find out the benefits of biopharmaca products in leading a healthy Indonesia. Qualitative descriptive research with the method of collecting data is observation and recording documents. The results show that the benefits of biopharmaca products can improve health in the community, are more effective, more affordable, and have relatively smaller side effects. The use of biopharmaca products has global competitiveness that is utilized by residents of several countries such as: China (People’s Republic of China) reaching 90%, Chile reaching 71%, Colombia reaching 40%, France reaching 49%, Canada reaching 78%, Britain reaching 60%, The United States reached 42%, and Germany reached 73%. In moving towards a healthy Indonesia, biopharmaca products can be utilized. Based on the results of the research that biopharmaca products can be used in formal health services to improve the quality and degree of health in the community towards a healthy Indonesia.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".