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Record W1622509597 · doi:10.26753/jikk.v5i2.60

HUBUNGAN ANTARA HYGIENE GIGI DENGAN KEJADIAN PNEUMONIA PADA BALITA UMUR 36-59 BULAN DI PUSKESMAS KLIRONG II

2009· article· id· W1622509597 on OpenAlexaboutno aff
Cahyu Septiwi

Bibliographic record

VenueJurnal Ilmiah Kesehatan Keperawatan · 2009
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsPneumoniaMedicineHygienePediatricsFamily medicineEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

The pneumonia is health problem in world because the death level pneumonia desease hight, not only in proceed country but also in modern countries such as Amerca Serikat, Canada dan Eropa country. Some factors of risk pneumonia for example age, weather or climate, bad toht hygiene act. The purpose of this research is to know sum of children under five years old that suffering pneumonia, to know the sum of child pneumonia that bad tooht hygiene. Case Control with the approach of Retrospektive sampling . Populatian of the child 36-59 moth that suffering pneumonia in manistran Center the society Healt of Klirong II of 32 person . Analys the date with the analisys of is non parametrical statistic that is Spearman rho correlatian analys. Instrumen used check list observ of condition tooht hygiene on child under five years old. Sum of pneumonia child that bad tooht hygiene are 17 person. The result of date analys using Spearman rho test with statistic technique is P value 0,024, show that there are correlation betwen bad tooth hygiene and occurance pneumonia in children under five tears old. Information about pneumonia is needed to mother child that suffering pneumonia to decrease occurance pneumonia in child under five years old. Keywords: Bad tooht hygiene, Occurance pneumonia, The child under five years old.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.018
GPT teacher head0.288
Teacher spread0.270 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2009
Admission routes1
Has abstractyes

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