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Record W7133072780

Intraoral isolation of resin composite biodegration products from human saliva

2007· dissertation· W7133072780 on OpenAlexfundno aff
Yu-shu Chiu

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsSalineSalivaMouth rinseEthanolComposite numberBiodegradationAdhesive
DOInot available

Abstract

fetched live from OpenAlex

Background. Human salivary esterases have been shown to degrade composite resin restoration in vivo. Objective. The aim of this study was to develop rinse solution protocol to recover biodegradation products from composite restorations in vivo. Methods. Cervical composite restorations were placed in patients using adhesive system and composite. Saline mouth rinse with/without 20% ethanol (n=10/group) was collected after a 2 minute rinse protocol immediately and 7 days after restoration placement. Rinse samples were analyzed for biodegradation products using high performance liquid chromatography (HPLC). Saline rinse with 20% ethanol was further used in a 4 and 8 minute (n=10/group) rinse protocol. Results and conclusions. The saline with ethanol rinse solution had greater potential than saline alone to extract a bisGMA composite matrix derived product, bishydroxypropoxyphenylpropane (BisHPPP). The 8 minute rinse protocol showed an increase in BisHPPP levels compared with the 4 minute but not with the 2 minute rinse protocol.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.033
GPT teacher head0.372
Teacher spread0.339 · 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 designBench or experimental
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
Published2007
Admission routes1
Has abstractyes

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