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Record W118077752

Recent developments in dental traumatology.

2002· article· en· W118077752 on OpenAlexaff
David J. Kenny, Edward J. Barrett

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsTraumatologyMedicineDental traumaOral and maxillofacial surgeryEndodonticsDentistrySpecialtyMultidisciplinary approachDental surgeryMedical emergencyFamily medicineSurgeryOrthopedic surgery
DOInot available

Abstract

fetched live from OpenAlex

Most pediatric dentists provide clinical and after-hours care for dental injuries in their private offices, clinics and hospitals. They are trained and capable to perform the surgery, fracture reduction, splinting and single root endodontic treatment that are part and parcel of dental trauma management. However, for many clinicians, specialists included, dental trauma cases present infrequently and unexpectedly, with diagnosis and management continually evolving with advances in scientific information. Treatment that was current the last time they treated an injury may be out of date the next time clinicians are presented with similar cases. Trauma research is scattered among specialty-specific journals that focus on pediatric dentistry, endodontics, oral and maxillofacial surgery, sports medicine and even periodontics. One trauma-specific journal, Endodontics and Dental Traumatology was renamed Dental Traumatology in January 2001 to reflect the multidisciplinary nature of dental trauma research and to encourage contributions from a broader range of specialties. This update is based on a number of developments in traumatology over the past five to seven years but is focused on trends. Unfortunately, trauma research is concentrated in only a few centers and they are mainly outside the United States. Editorial calls to action for dental trauma research seem to be hampered by overworked front-line clinicians or scarce resources.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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)0.0010.002

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 head0.183
GPT teacher head0.368
Teacher spread0.185 · 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

Citations22
Published2002
Admission routes1
Has abstractyes

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