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Record W4308010203 · doi:10.29309/tpmj/2022.29.11.7121

Cantilevered resin bonded bridge: A conservative approach to restore periodontally compromised teeth- a case report.

2022· article· en· W4308010203 on OpenAlexaff
Varda Hussain, Anoosha Waseem, Ramsha Khalid, Kaynat Siddique, Muhammad Waseem Ullah Khan, Momina Akram

Bibliographic record

VenueThe Professional Medical Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsAbutmentMedicineBridge (graph theory)DentistryProsthesisOrthodonticsAnterior teethCase selectionConservative treatmentCantileverSurgeryEngineeringStructural engineering

Abstract

fetched live from OpenAlex

Multiple treatment options are available for replacement of a missing anterior tooth, each with its own pros and cons. This case report aims to describe the use of a conservative and cost-effective approach for replacing a missing mandibular anterior tooth with periodontally compromised abutment teeth. Here we describe a case in which a single abutment tooth was minimally prepared for a Cantilevered Metal Resin-Bonded Fixed Partial Denture. This report provides a brief literature review regarding the success rates and various designs for resin-bonded fixed prosthesis. It also emphasizes on proper case selection for better long-term prognosis. The results after 1 year follow up of this case demonstrated optimal clinical success of the restoration which encourage the use of this minimally invasive technique for replacing missing 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 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.052
GPT teacher head0.349
Teacher spread0.297 · 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 designCase report
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

Citations2
Published2022
Admission routes1
Has abstractyes

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