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Record W2045349033 · doi:10.1186/1741-7015-11-53

Fascin-1 is a novel biomarker of aggressiveness in some carcinomas

2013· letter· en· W2045349033 on OpenAlexaff
Vathany Kulasingam, Eleftherios P. Diamandis

Bibliographic record

VenueBMC Medicine · 2013
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsMount Sinai HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineDiseaseFascinCancerMetastasisOncologyBiomarkerIntensive care medicineModalitiesInternal medicine

Abstract

fetched live from OpenAlex

Tremendous progress has been made in recent years towards the understanding, prevention and management of malignant disease, yet cancer remains a leading cause of global mortality and morbidity. Current approaches towards combating this disease include prevention, early detection and various treatment modalities. However, even with implementation of novel therapeutic options and preventative measures, most cancers are currently diagnosed at late stages, when treatment therapies are least effective. In a recent study published in BMC Medicine, Tan et al. performed a systematic review and meta-analysis to show that fascin-1, an actin-bundling protein, is associated with increased risk of mortality and metastasis in various cancer types. Although the study examined the association of fascin-1 with mortality, time-to-disease progression, lymph node metastasis and distant metastasis in five major cancer types, the clinical implications of these findings are still unclear and many unanswered questions remain.Please see related research article here http://www.biomedcentral.com/1741-7015/11/52.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.379
Threshold uncertainty score0.936

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 integrity0.0010.000
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 head0.039
GPT teacher head0.278
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations29
Published2013
Admission routes1
Has abstractyes

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