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As práticas preventivas no controle da cárie dental: uma síntese de pesquisas

2002· review· pt· W2003713351 on OpenAlexaboutno aff
Sônia Cristina Lima Chaves, Lígia Maria Vieira-da-Silva

Bibliographic record

VenueCadernos de Saúde Pública · 2002
Typereview
Languagept
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsOral hygieneMedicineContext (archaeology)Family medicineDentistryPopulationEnvironmental healthGeography

Abstract

fetched live from OpenAlex

A literature review was conducted on the effectiveness of measures to prevent dental caries. Articles published in scientific journals from 1980 to 1998 and indexed in MEDLINE were selected. Some 210 articles were found and their abstracts classified according to intervention strategies, type of research design, and observed effects. The most frequent preventive measures were the use of fluoride toothpaste (20.5%), fluoride mouthwash (17.2%), and occlusal sealants (18,1%). The main target population was schoolchildren 6-12 years old (53.8%) and teenagers (15.7%). Western Europe produced 58.7% of the articles on this subject, followed by United States (22.7%), Eastern Europe, Asia, Canada, and Latin America. No relationship was identified between program results (effective as opposed to ineffective studies) and the type of preventive practice and research design, indicating that other issues need to be investigated, such as the context of organizational implementation (where, how, and by whom prevention is implemented). Education in oral hygiene as a basic tool and key component in specific preventive action has received little research attention.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.771
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0240.047

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 head0.044
GPT teacher head0.367
Teacher spread0.323 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2002
Admission routes1
Has abstractyes

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