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Record W4312575990 · doi:10.4103/jcd.jcd_506_22

Real-time guided endodontics: A case report of maxillary central incisor with calcific metamorphosis

2022· article· en· W4312575990 on OpenAlexaboutno aff
Durga Bhavani Panithini, GirijaS Sajjan, Niraj Kinariwala, UmaDevi Medicharla, KMadhu Varma, Meghana Kallepalli

Bibliographic record

VenueJournal of Conservative Dentistry · 2022
Typearticle
Languageen
FieldDentistry
TopicEndodontics and Root Canal Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndodonticsRoot canalDentistryCone beam computed tomographyPulp (tooth)Pulp cappingPalpationRadiographyOrthodonticsComputed tomographySurgery

Abstract

fetched live from OpenAlex

Dental trauma results in various complications and poses an enigma to the practitioner. Calcific metamorphosis is one of the sequelae of trauma. A female patient of 35 years visited the specialty clinic of endodontics for the management of a discolored tooth. Clinically, discolored 21 was observed with no pain on palpation and percussion. The pulp sensibility test revealed a negative response. Radiographic examination revealed pulp canal obliteration with an apical radiolucency of Peri Apical Index (PAI 4). The tooth was diagnosed as necrotic pulp with asymptomatic apical periodontitis. Attempt to negotiate the canal under a Dental Operating Microscope (LABOMED, Los Angeles, CA, USA) and ultrasonics (Satelec, Acteon, France) was futile. Cone-beam computed tomography image revealed a patent canal in the apical third. Using real-time guided endodontics with a dynamic navigation system (Navident, ClaroNav, Toronto, ON, Canada), the protocol of plan, trace, and place was followed, and successful canal negotiation was achieved. After radiographic confirmation, root canal treatment was completed.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0130.005
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 head0.033
GPT teacher head0.297
Teacher spread0.264 · 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

Citations15
Published2022
Admission routes1
Has abstractyes

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