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Record W2443501998 · doi:10.1088/2057-1739/2/2/023001

Cancer dissemination from a physical sciences perspective

2016· article· en· W2443501998 on OpenAlexaff
Karla C. Williams, Eugene Wong, Hon S. Leong, Dwayne N. Jackson, Alison L. Allan, Ann F. Chambers

Bibliographic record

VenueConvergent Science Physical Oncology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsLawson Health Research InstituteLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsExtravasationMetastasisCancerCancer metastasisMedicineCancer cellInvadopodiaDiseaseCirculating tumor cellCancer researchPathologyInternal medicine

Abstract

fetched live from OpenAlex

Cancer metastasis continues to be responsible for most cancer deaths. While much has been learned about molecular contributors to metastatic spread, the ability to effectively translate this knowledge to improved patient outcomes is still limited. Here we discuss various steps in the metastatic process from a physical sciences perspective, including hemodynamics pressure and forces in the circulatory system, sizes, half-lives and deformability of circulating tumor cells, physical aspects of cancer cell microvascular arrest, the role of adhesion and invadopodia in extravasation, and microparticles released by cancer cells during steps in metastasis. Awareness and improved understanding of the role of physical aspects of metastatic spread may offer new insights that may lead to new ways to better prevent, delay or treat metastatic disease.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.312

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 studies0.0000.001
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 head0.017
GPT teacher head0.373
Teacher spread0.356 · 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 designBench or experimental
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

Citations11
Published2016
Admission routes1
Has abstractyes

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