Bibliographic record
Abstract
Birth Planning and Complication Prevention (P4K) Program with Stickers isan breakthrough effort in accelerating the decline in the death rate of mother andnewborn baby. The Activity build on potential of the community, to preparation andsave the mothers and newborn baby. Based on preliminary survey at clinic prumnas doresearcher interview not structur to 8 pregnant women including two pregent womenwho have been putting up stickers P4K and 6 pregnant women have not planned andhave not stick to P4K Stiker at home. Objective to know how the class counselingpregnant woment to knowledge and participation of expectant mother with theinstallation of the program on a p4k sticker. This type of research is Experimental designpre one group pretest-posttest . Samples taken by total sampling. The Data analysis doin univariat and bivariat wWilcon test at α 5%. Research Result: that that the avererageKnowledge before to the counseling and after the counseling is There is difference ofknowledge And participation of P4K sticker installation before and after the counselingin rejang lebong prumnas Bengkulu health center (p value = 0,000).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.001 |
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 teacher head, 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".