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Record W2294867896 · doi:10.23917/biomedika.v8i2.2910

HUBUNGAN PENGETAHUAN IBU TENTANG IMUNISASI DASAR DENGAN KELENGKAPAN IMUNISASI DASAR BAYI DI WILAYAH KERJA PUSKESMAS BENDO KABUPATEN MAGETAN

2017· article· id· W2294867896 on OpenAlexaff
Dewi Nur Intan Sari, Sri Wahyu Basuki, Nugraheni Triastuti

Bibliographic record

VenueBiomedika · 2017
Typearticle
Languageid
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Imunisasi merupakan suatu strategi yang efektif dan efisien dalam meningkatkan derajat kesehatan nasional. Alasan bayi tidak mendapatkan imunisasi lengkap karena faktor informasi, mengakibatkan pengetahuan ibu tentang imunisasi kurang. Tujuan dari penelitian ini adalah untuk mengetahui hubungan pengetahuan ibu dengan kelengkapan imunisasi dasar bayi di wilayah kerja Puskesmas Bendo Kabupaten Magetan. Desain penelitian adalah penelitian observasional analitik dengan pendekatan cross sectional. Sampel penelitian adalah ibu yang datang ke posyandu dengan anaknya berumur 9-12 bulan di wilayah kerja Puskesmas Bendo Kabupaten Magetan dengan teknik pengambilan sampel Cluster sampling.Besar sampel sebanyak 65 responden. Data selanjutnya dianalisis dengan uji Chi-square. Hasil penelitian menunjukkan terdapat hubungan signifikan (p<0,001) antara pengetahuan ibu dengan kelengkapan imunisasi dasar bayi di wilayah kerja Puskesmas Bendo Kabupaten Magetan Kata Kunci: Pengetahuan Ibu, Kelengkapan Imunisasi’

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.002

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 head0.141
GPT teacher head0.446
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations24
Published2017
Admission routes1
Has abstractyes

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