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Record W2904649730 · doi:10.14740/gr1092

Klippel-Trenaunay Syndrome, a Rare Cause of Hematochezia

2018· article· en· W2904649730 on OpenAlexvenueno aff
Eric O. Then, Andrew Ofosu, Prashanth Rawla, Tagore Sunkara, Vinaya Gaduputi

Bibliographic record

VenueGastroenterology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsnot available
Fundersnot available
KeywordsHematocheziaKlippel-Trenaunay syndromeMedicineGastrointestinal tractGastrointestinal bleedingVenous malformationDermatologyPediatricsSurgeryInternal medicineColorectal cancerCancerSoft tissueColonoscopy

Abstract

fetched live from OpenAlex

Klippel-Trenaunay syndrome (KTS) is a rare disorder with a wide array of clinical manifestations. It is primarily a disorder of vascular malformations that is classically associated with the development of hemangiomas and venous malformations. Rarely will KTS present with visceral involvement. Venous malformations of the gastrointestinal tract in specific are an exceedingly rare manifestation of KTS. When present, it can result in life-threatening bleeding that is oftentimes difficult to manage. Our case highlights a 53-year-old woman who presented to our clinic with chronic rectal bleeding secondary to KTS.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.390
Teacher spread0.317 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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