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Record W7097645867

Has the Level of Dental Fluorosis Among Toronto

2015· article· en· W7097645867 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicFluoride Effects and Removal
Canadian institutionsnot available
Fundersnot available
KeywordsDental fluorosisWater fluoridationOral healthPublic healthWater supplyDental healthOral examination
DOInot available

Abstract

fetched live from OpenAlex

We report partial findings of a dental surveyconducted in Toronto during the 1999–2000school year. The purpose of the survey was to obtain valid estimates of the oral health status of children in the 4 regions of the recently amalgamated city. These esti-mates will be used in developing recommendations for programs to address any needs identified. The city is served by a common water system that has been fluoridated since 1963. In the fall of 1999, the concen-tration was reduced in 2 stages (from 1.2 ppm to 1.0 ppm and then to 0.8 ppm), to meet revised Canadian water standards1. A continuing oral health issue relates to the concentration of fluoride in the public water supply needed to balance the prevalence and severity of dental caries and the prevalence and severity of dental fluorosis. This paper reports recent findings on oral health status and compares fluorosis findings with those reported in earlier studies. Previous Studies of Fluorosis Interest in the prevalence and severity of dental fluorosis is reflected in the number of surveys that have been conducted. Starting with the most recent study, prevalence for children has been variously estimated for parts of the new city at the following levels: • 13.9 % for 7-year-olds in the former East York;2 • 13 % for 8- to 10-year-olds, again in the former East York;3 • 19.9 % in the former Scarborough for children 7, 9, 11 and 13 years of age;4

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.067
GPT teacher head0.248
Teacher spread0.181 · 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 teacher head, not a consensus.

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
Published2015
Admission routes1
Has abstractyes

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