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Record W2897868980 · doi:10.1097/rlu.0000000000002319

Pediatric Esophageal Squamous Cell Carcinoma Staged With 18F-FDG PET/CT

2018· article· en· W2897868980 on OpenAlexaff
Melissa Cindy Kong, Helen Nadel

Bibliographic record

VenueClinical Nuclear Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineMelenaSwallowingRadiologyEsophageal squamous cell carcinomaAbdominal painDysphagiaWeight lossQuality of life (healthcare)CarcinomaSurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

A 15-year-old boy with autism and swallowing dysfunction presented with a 6-month history of fatigue, intermittent abdominal pain, and weight loss. He later became febrile and had multiple episodes of coffee ground emesis and melena stools. An upper endoscopy showed an esophageal mass, and a subsequent F-FDG PET/CT scan confirmed this finding. PET/CT also revealed metastatic disease in local lymph nodes, thus upstaging the patient and indicating poor prognosis. Consideration of these severe results and the patient's quality of life helped guide decision making in patient management, with the ultimate decision to pursue palliative care.

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)0.002
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.360
Teacher spread0.320 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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