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Record W4313041871 · doi:10.31314/zijk.v8i2.1104

STATUS PEKERJAAN IBU DENGAN KETEPATAN WAKTU PEMBERIAN IMUNISASI PENTAVALEN PADA BATITA DI WILAYAHKERJA PUSKESMAS TELAGA BIRU KABUPATEN GORONTALO

2021· article· en· W4313041871 on OpenAlexaff
Andi Akifa Sudirman, Muriyati Rokani

Bibliographic record

VenueZaitun (Jurnal Ilmu Kesehatan) · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsObservational studyMedicineFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

This research was conducted at Telaga Biru health centre work area. The objective was to identification The relationship of mother’s Occupation status with the Timeliness of giving Pentavalent Immunization on infants at Telaga Biru Health Centre Work Area. Populations were 108 infants. The samples are 36 respondents. This research was conducted in 2 weeks. The design used observational analytic with cross sectional study approach and collecting data from respondents used questionnaire form. The Chi Square test result obtained significant value ρ=0,010 < 0,05, Ho is rejected which means there is significance relationship between variable of mother’s Occupation status with Timeliness of giving Pentavalent 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 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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.103
GPT teacher head0.427
Teacher spread0.324 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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