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Record W2800328474 · doi:10.1016/j.rmcr.2018.05.005

Esophagus lyomyoma diagnosed with convex endobronchial ultrasound (EBUS)

2018· article· en· W2800328474 on OpenAlex
Paul Zarogoulidis, Styliani Laskou, Athanasios Katsaounis, Efstathios Pavlidis, Dimitrios Giannakidis, Charilaos Koulouris, Stylianos Mantalovas, Ioanna Kougioumtzi, Nikolaos Katsikogiannis, Fotis Konstantinou, Wolfgang Hohenforst‐Schmidt, Haidong Huang, Chong Bai, Alkis Euthimiou, Dimitris Hatzibougas, Iota Fitili, Chrysanthi Sardeli, Aggeliki Rapti, Ισαάκ Κεσίσογλου, Konstantinos Sapalidis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRespiratory Medicine Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicineEsophagusEndobronchial ultrasoundRadiologyUltrasonographyUltrasoundSurgeryBronchoscopy

Abstract

fetched live from OpenAlex

Esophageal lyomyoma are rare benign tumors of the esophagus and they remain usually undiagnosed until local compression symptoms occur in the esophagus. Gastroscopy or esophageal ultrasonography (EUS) are usually the methods of choice for diagnosis. Moreover; surgery is the solution for this entity. In our case we present diagnosis of esophageal lyomyoma using convex probe endobronchial ultrasound (EBUS) with a fine needle aspiration of 22G.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.033
GPT teacher head0.322
Teacher spread0.289 · 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