MétaCan
Menu
Back to cohort
Record W2885149505 · doi:10.21037/jtd.2018.06.98

The evolving role of radiotherapy in the management of small cell lung cancer

2018· review· en· W2885149505 on OpenAlexaff
Mark V. Mishra, Alexander V. Louie, Vinai Gondi, Ben J. Slotman

Bibliographic record

VenueJournal of Thoracic Disease · 2018
Typereview
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineRadiation therapyLung cancerOncologyIntensive care medicineMedical physicsPathologyBioinformaticsRadiologyBiology

Abstract

fetched live from OpenAlex

Small cell lung cancer (SCLC) represents a small but significant subset of newly diagnosed lung cancers. In spite of being both chemo- and radiation-sensitive, SCLC has a high-propensity for recurrence after treatment. Although systemic therapy plays a central role in the management of patients with SCLC, many of the advances in overall survival for patients with SCLC have directly related to the use of radiation therapy. The objective of this review is to discuss the key radiation therapy clinical trials that have defined the current standard-of-care treatment for SCLC, and to review ongoing advances in radiation therapy that may further advance outcomes for patients with SCLC.

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)0.003
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.446
Teacher spread0.408 · 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
GenreReview

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Thoracic DiseaseSame topicLung Cancer Research StudiesFrench-language works237,207