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Record W4386541363 · doi:10.21203/rs.3.rs-3314627/v1

Intrathoracic migration of a breast prosthesis after minimally-invasive atrial myxoma resection: a case report

2023· preprint· en· W4386541363 on OpenAlexaff
Amy Dawson, Emily M. Mackay, Gordon Buduhan

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsUniversity of British ColumbiaMemorial University of Newfoundland
Fundersnot available
KeywordsMedicinePresentation (obstetrics)Cardiothoracic surgerySurgeryResectionProsthesisMinimally invasive cardiac surgeryInvasive surgeryCardiac surgery

Abstract

fetched live from OpenAlex

Abstract Background Intrathoracic migration of breast prostheses has been described after both open and minimally-invasive cardiothoracic and breast surgery, with several proposed mechanisms of migration. Case presentation In this report, we describe an unusual presentation of intrathoracic prosthetic migration following remote minimally-invasive cardiac surgery for atrial myxoma resection. Conclusions Due to the rare but documented risk of intrathoracic migration following minimally-invasive cardiothoracic surgery, consideration should be given to surgical strategies for mitigating this risk at the time of initial surgery.

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)0.004
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0070.004
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 head0.064
GPT teacher head0.404
Teacher spread0.340 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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