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Record W2979478618 · doi:10.1111/aej.12376

Removal of calcifications from distal canals of mandibular molars by a non‐instrumentational cleaning system: A micro‐<scp>CT</scp> study

2019· article· en· W2979478618 on OpenAlexafffund
Bin‐Wen Chen, Deb Szabo, Ya Shen, Duo Zhang, Xianyu Li, Jingzhi Ma, Markus Haapasalo

Bibliographic record

VenueAustralian Endodontic Journal · 2019
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsUniversity of British Columbia
FundersCanada Foundation for Innovation
KeywordsMolarCalcificationDentistryMedicineMandibular molarOrthodonticsRadiology

Abstract

fetched live from OpenAlex

Pulpal calcifications can present problems in endodontic treatment. This micro-CT study examined the removal of calcifications by a multisonic cleaning system in uninstrumented mandibular molar distal canals. The teeth were accessed and distal canals located and their patency ensured. Micro-CT images were obtained, and 15 teeth with distal canal calcifications were selected. The volume of distal canals and calcifications were calculated from the micro-CT images before and after cleaning with the GentleWave system. Calcifications were observed in all thirds of the canals. Attached and free calcification were detected. Root canal volumes were slightly increased after GentleWave treatment, whereas the calcifications were completely or partially removed in all canals. Mean reduction percentage of calcification was 86.4 ± 3.9%, in individual canals from 60% to 100%. Calcifications in the distal canals of mandibular molars could be partially or completely removed by the multisonic cleaning system without instrumentation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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

Citations18
Published2019
Admission routes2
Has abstractyes

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