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Record W2896296391 · doi:10.21037/jtd.2018.09.131

Non-ablative hypofractionated hemithoracic radiation—a new standard of care in mesothelioma?

2018· letter· en· W2896296391 on OpenAlexaff
Marc de Perrot, John Cho

Bibliographic record

VenueJournal of Thoracic Disease · 2018
Typeletter
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsAblative caseMedicineMesotheliomaMedical physicsStandard of careRadiation therapyRadiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

The role of radiation therapy in malignant pleural mesothelioma (MPM) has been explored for the past 50 years. Originally, MPMs were thought radioresistant tumors. However, experimental evidence suggested otherwise (1). For instance, in vitro studies have shown that mesothelioma cell lines were more sensitive to radiation than non-small cell lung cancer cell lines, experiments in mice models of mesothelioma have shown response to radiation therapy, clinical studies have demonstrated benefit of radiation in the palliative setting when specific areas of the chest were targeted, and hemithoracic radiation have shown good local control when combined with radical surgery [see review in (1) for specific references].

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: Commentary
Teacher disagreement score0.011
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0030.003

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 head0.011
GPT teacher head0.321
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2018
Admission routes1
Has abstractyes

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