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Brain Metastases: State of the Art and Innovative Targeted Therapies

2015· article· en· W2303714973 on OpenAlexvenueno aff
Maria Caffo, Lucia Merlo, Valeria Barresi, Ema Tot, Gerardo Caruso

Bibliographic record

VenueJournal of Analytical Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsExtravasationMedicineBrain metastasisMetastasisRadiation therapyCancerBrain cancerBlood–brain barrierTargeted therapyDiseaseCancer researchPathologyInternal medicineCentral nervous system

Abstract

fetched live from OpenAlex

Brain metastasis represents the most common intracranial tumor. The metastatic process involves the migration of a cancer cell from the bulk tumor into the surrounding tissue, extravasation from the blood vessels into the tissues, and formation of a secondary tumor. Patients affected by brain metastases are in need of a multidisciplinary approach that generally includes surgical treatment and radiation therapy. Conventional chemotherapies have generally produced disappointing results, possibly due to their limited ability to penetrate the blood-brain barrier. With new data regarding the biology of brain metastases, novel targeted therapies can be considered interesting and promising therapeutic options. Targeted therapies showed improved survival in patients with metastatic disease. The advent of new technologies such as graphene nanoparticles has led to the discovery of novel pathways that allow a better delivery of the therapeutic compounds to the brain.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.043
GPT teacher head0.352
Teacher spread0.309 · 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
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

Citations0
Published2015
Admission routes1
Has abstractyes

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