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Record W1991744902 · doi:10.1177/1090820x14540457

Commentary on: Internal and External Carotid Artery Embolism Following Facial Injection of Autologous Fat

2014· letter· en· W1991744902 on OpenAlexaff
Claudio DeLorenzi

Bibliographic record

VenueAesthetic Surgery Journal · 2014
Typeletter
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsMedicineSurgeryAdverse effectEmbolismVital signsSigns and symptomsIschemiaCardiologyInternal medicine

Abstract

fetched live from OpenAlex

The author wishes to thank Wang et al1 for publishing this Case Report. It is vitally important that rare and unusual outcomes be published and discussed, not only to raise awareness of the risk of severe adverse events but also to serve as a means to illustrate the techniques prescribed to prevent them in the first place. The operating surgeon is reported to have followed most of the known standard operating procedures in terms of risk reduction. Unfortunately, the original surgeon is not one of the authors of this report, raising some concern whether any important details have been lost in transfer. Wang et al have thoroughly investigated the patient for signs of anatomic predisposing factors but did not find anything of note. In particular, there were no signs of preexisting scarring in the regions grafted, no abnormal vessels or vascular malformations in the grafted sites, and no signs of abnormal venous to arterial pathways that might explain graft material entering the arterial circulation from the venous side. Also, there were apparently no abnormal hemodynamic signs discovered during surgery, nor were there any cutaneous signs of ischemia noted either during the operation or soon thereafter. Unfortunately, there are no photos available of the patient’s appearance, so we cannot judge whether bruising or other issues obscured the diagnosis. Could this adverse event have been …

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2014
Admission routes1
Has abstractyes

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