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Record W2408747045

A comparison of the Braun Oral-B 3D plaque remover and the Sonicare plus electric toothbrush in removing naturally occurring extrinsic staining.

2000· article· en· W2408747045 on OpenAlexaff
Sharma Nc, Galustians Hj, J Qaqish, M Cugini, Warren Pr

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldDentistry
TopicDental Erosion and Treatment
Canadian institutionsBioSci Research Canada (Canada)
Fundersnot available
KeywordsStainToothbrushMedicineDentistryStainingSingle blindRandomized controlled trialSoft tissueBrushSurgeryPathologyMaterials science
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: To compare the extrinsic stain-removing properties and the safety of the Braun Oral-B 3D Plaque Remover and the Sonicare Plus electric toothbrush. MATERIALS AND METHODS: This randomized, parallel group, investigator-blinded study involved 67 subjects and was conducted over 6 weeks. After recruitment, the subjects received a baseline stain assessment (Lobene stain index) and a soft and hard tissue examination, and were then randomized to use either the Sonicare or the 3D device. All subjects were trained to use both devices, and instructed to brush twice daily with their assigned device for 2 min. The subjects' brushing technique was checked after 2 weeks. After a further 4 weeks, the subjects underwent a final stain assessment and soft and hard tissue examination. A questionnaire was also completed. RESULTS: At 6 weeks, oral hard and soft tissue examinations revealed no abrasion or damage in either group. Both brushes produced significant (P < 0.001) reductions from baseline in total stain score, stain area and intensity, but group comparisons showed that these reductions were significantly (P < 0.001) greater for the 3D device.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.403

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)0.0000.000

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 head0.022
GPT teacher head0.270
Teacher spread0.248 · 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.

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

Citations13
Published2000
Admission routes1
Has abstractyes

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