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Record W2157589819 · doi:10.1017/s0965539504001251

THE ROLE OF INTERVENTIONAL RADIOLOGY IN OBSTETRICS

2004· article· en· W2157589819 on OpenAlexaff
John R. Kachura

Bibliographic record

VenueFetal and Maternal Medicine Review · 2004
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineSubspecialtyInterventional radiologyRadiologyFluoroscopyMedical physicsInterventional magnetic resonance imagingMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Vascular and Interventional Radiology, more succinctly known as Interventional Radiology (IR), is the subspecialty of Medical Imaging or Radiology that deals with diagnosis and treatment using minimally invasive procedures under imaging guidance. Initially, fluoroscopy was the only imaging modality available, but ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) are also currently being used for guidance. One of the basic skills used by interventional radiologists is the Seldinger technique: the introduction of a needle into a body cavity or lumen allowing passage of a wire guide, which in turn facilitates the insertion of a tube or catheter. Many IR procedures have supplanted more invasive surgical techniques, with the resultant benefits of lower morbidity and mortality, shorter hospital stays and recovery times, and lower costs. Traditionally, obstetricians and interventional radiologists seldom interacted with one another, but their collaboration in patient care and research is increasing as obstetricians realise the value of IR, and as the myriad techniques and tools in the interventionalist's armamentarium expand and evolve.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.115

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.022
GPT teacher head0.331
Teacher spread0.309 · 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 designOther design
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

Citations8
Published2004
Admission routes1
Has abstractyes

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