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Record W4312440957 · doi:10.31314/zijk.v7i2.1148

PENGARUH KOMPRES DINGIN TERHADAP INTENSITAS NYERI PADA BAYI SAAT IMUNSISASI CAMPAK DI WILAYAH KERJA PUSKESMAS TALAGA JAYA

2021· article· en· W4312440957 on OpenAlexaff
Andi Akifa Sudirman, Muriyati Rohani

Bibliographic record

VenueZaitun (Jurnal Ilmu Kesehatan) · 2021
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineMeaslesPopulationEnvironmental healthVaccinationImmunology

Abstract

fetched live from OpenAlex

This research was conducted at Telaga Jaya health centre work area of gorontalo district. The objective was to identification the influence of before and after cold compresses used quasi eksperiment design on the influence of pain intensity in infants during measles immunization. The design used quasi eksperiment one group pretest-postets. The population were the mothers who have 9 months old infants. The samples are 15 respondents. Cold compresses applied 21 times in 3 weeks, the assessment was before and after treatment which used T-test Dependent test on pressure level 95% (𝛼=0,05). The result obtained the enhancement influence before and after cold compresses on pain intensity in infants during measles immunization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.287
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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