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Record W4384917578 · doi:10.57041/pjs.v73i1.648

INCIDENCE OF ORAL HYGIENE STATUS AND PRACTICES AMONG CHILDREN

2022· article· en· W4384917578 on OpenAlexaff
Hesham Hassan

Bibliographic record

VenuePakistan Journal of Science · 2022
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsOral hygieneSignificant differenceTooth brushingHygieneIncidence (geometry)Government (linguistics)MedicinePrivate sectorDentistryPublic sectorEnvironmental healthFamily medicineBrushToothbrushPolitical science

Abstract

fetched live from OpenAlex

This survey aimed to find the oral hygiene status and practices of both government and private school students of Lahore. Sample size was 677 students as a whole. significant difference between both groups of students with regards to the usage of brushing instruments such as tooth brush, miswak, finger and none (X2=20.906, P<.001) was found. Significant difference was present between two groups with regards to the teeth brushing frequency (X2=10.925, P=.012). Most of the students of private as well as public sectors schools, brush their teeth once a day, that is, Public sector schools’ students (71.8%) and private sector schools’ students (59.6%). Majority of students do brushing in the morning, 92.4% public sector students and 93% students of private sector. Overall oral hygiene practices was found higher in private school students as compared to the public school students. But practicing of dental care were found satisfactory among both groups.

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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.362
Teacher spread0.344 · 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
Published2022
Admission routes1
Has abstractyes

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