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Record W1935850336 · doi:10.14740/jcs187e

Dentistry and Medical Complexities

2015· article· en· W1935850336 on OpenAlexvenueno aff
Salah Sakka, Saleh Nasir Azzeghaiby, Amr Alyasein, Salah Hanouneh

Bibliographic record

VenueJournal of Current Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndocarditisDentistryIntensive care medicineStatement (logic)Dental surgerySurgeryGeneral surgery

Abstract

fetched live from OpenAlex

Dentistry is a safe profession, even for most medically complex patients. In several cases, fear treating such patients may be based not on scientific specifics but rather on a “mythology” of the dangers of dentistry. The complexities of anticoagulation, artificial joint infections, local anesthetics with or without vasoconstrictors, and endocarditis are discussed. Neither continuous anticoagulation nor antiplatelet medications should be withdrawn for dental surgery. Most artificial joint patients should not receive antibiotic prophylaxis. Local anesthetics and vasoconstrictors can be used safely in most medically complex patients. Although dental treatment is not usually a risk factor for endocarditis, practitioners should consult the updated 2008 American Heart Association statement for recommendations for endocarditis prevention. J Curr Surg. 2015;5(2-3):157-159 doi: http://dx.doi.org/10.14740/jcs187e

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.145
GPT teacher head0.379
Teacher spread0.235 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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