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Record W4386167398 · doi:10.37616/2212-5043.1344

Leiomyosarcoma of the Inferior Vena Cava extending to the Right Atrium and Ventricle

2023· article· en· W4386167398 on OpenAlexaff
Naif Saad ALGhasab, Mohammad Alruwayeh, Abdulaziz Algharras, Amin Mulji

Bibliographic record

VenueJournal of the Saudi Heart Association · 2023
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsMedicineInferior vena cavaLeiomyosarcomaRadiologyVentricleRight atriumSurgeryCardiology

Abstract

fetched live from OpenAlex

Primary tumors originating from the inferior vena cava (IVC), namely leiomyosarcoma, present significant challenges due to their poor prognostic features, including extensive extension and a substantial tumor burden. In this case, we present a 55-year-old female patient complaining of abdominal discomfort and vague abdominal pain. Additionally, we provide a comprehensive summary encompassing key aspects related to symptomatology, diagnostic approaches, treatment, and prognostic indicators. We also discuss the complexities involved in managing primary tumors of the inferior vena cava, emphasizing the critical significance of adopting a multidisciplinary team-based approach.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.143

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 head0.013
GPT teacher head0.281
Teacher spread0.267 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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