MétaCan
Menu
Back to cohort
Record W1963763477 · doi:10.5812/hepatmon.9308

Different Faces of Hepatocellular Carcinoma as a Health Threat in 21st Century

2013· article· en· W1963763477 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

VenueHepatitis Monthly · 2013
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsSt. Boniface HospitalChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsMedicineHepatocellular carcinomaKowsarInternal medicine

Abstract

fetched live from OpenAlex

Hepatocellular carcinoma (HCC) is considered as the third and also one of the most frequent global cancers, accounting for more than half a million deaths annually (1, 2). There is a contentious rate in HCC incidence and mortality, which highlights the need for new and innovative therapeutic approaches. Over the last decade, the incidence of HCC remains the highest in Eastern Asia and Africa, while its frequency has grown progressively in western countries and in Japan as well (3). The molecular mechanisms of HCC-pathogenesis are not well-described, and the available information is less than that of other types of cancers such as breast and colon cancers. However in recent years, there have been major positive developments in HCC studies mainly because of improvements in clinical trials and the discovery of

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 score0.062
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.013
GPT teacher head0.242
Teacher spread0.228 · 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