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Record W1995900860 · doi:10.1159/000333261

Controversies in Surveillance and Early Diagnosis of Hepatocellular Carcinoma

2011· article· en· W1995900860 on OpenAlex

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

VenueOncology · 2011
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsHepatocellular carcinomaMedicineBiomarkerCancerCarcinomaOncologyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

The surveillance of hepatocellular carcinoma (HCC) is an established approach to detect early cancers in patients with defined risks. However, there are still varied controversies and issues to be addressed regarding the optimal surveillance methods and interval. Moreover, there are discrepancies in the opinion or practice of HCC surveillance between Eastern and Western countries. The Western strategy of ultrasound without a biomarker such as α-fetoprotein reflects the cost-effective utilization of limited resources. On the contrary, combined measurements of biomarkers in Eastern countries are based on the assumption that increased detection of early cancers could result in an overall survival benefit. To address this complicated issue, a prospective study comparing different surveillance tests might be required. More importantly, discovery of a novel biomarker with higher performance would be an alternative.

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)0.000
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 score0.011
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.068
GPT teacher head0.255
Teacher spread0.187 · 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