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Record W2319846185 · doi:10.20286/nova-jmbs-040253

A Concrescence between Second and Third Molars

2015· article· en· W2319846185 on OpenAlexvenueno aff
Mohammad Mehdizadeh, Bardia Vadiati Saberi, Shaghayegh Noori Bayat

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicdental development and anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMolarDentistryMedicine

Abstract

fetched live from OpenAlex

Background: Concrescence is a rare dental anomaly in which juxtaposed teeth are united in the cementum but not in the dentin. The incidence of Concrescence teeth is reported to be highest in the posterior maxilla. It often involves a second molar with roots in near proximity to those of a third molar. It is more common on maxillary third and second molars and may be inadvertently diagnosed during a tooth extraction. Although the exact etiology of concrescence has not yet been explained, it is usually suspected that space restriction during development, local trauma, excessive occlusal force or local infection after development play an important role. Unexpected complications arising from the concrescence may lead to legal issues. Case Report: Extracting right maxillary second molar in a 33-year-old female patient with a chief complaint of toothache in a right maxillary second molar. It became evident that the second and third molars were attached between the roots. So both teeth were extracted a traumatically and healing was uneventful. Conclusion: In fact, concrescence is not common anomaly, so the clinician should always consider it, especially in the case of maxillary molars, and the patient should be informed about its complications. A small fused area may be separated during the extraction. But a broader connected area (like in this case) may lead to the extraction of both involved teeth.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.096
GPT teacher head0.328
Teacher spread0.232 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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