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Record W3167396950 · doi:10.1016/s1470-2045(21)00196-0

Stereotactic body radiotherapy versus conventional external beam radiotherapy in patients with painful spinal metastases: an open-label, multicentre, randomised, controlled, phase 2/3 trial

2021· article· en· W3167396950 on OpenAlexafffund
Arjun Sahgal, Sten Myrehaug, Shankar Siva, Giuseppina Laura Masucci, Pejman Maralani, Michael Brundage, James Butler, Edward Chow, Michael G. Fehlings, Zsolt Gabos, Jeffrey Greenspoon, Marc Kerba, Young Lee, Mitchell Liu, Stanley K. Liu, Isabelle Thibault, Rebecca Wong, Maaike Hum, Keyue Ding, Wendy R. Parulekar

Bibliographic record

VenueThe Lancet Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsCentre hospitalier universitaire de QuébecUniversity of AlbertaBC Cancer AgencyToronto Western HospitalUniversity of ManitobaUniversity of TorontoMcMaster UniversityQueen's UniversityPrincess Margaret Cancer CentreUniversity of CalgaryCentre Hospitalier de l’Université de MontréalHealth Sciences CentreSunnybrook Health Science Centre
FundersNational Health and Medical Research CouncilCanadian Cancer Society
KeywordsMedicineRadiation therapyExternal beam radiotherapyStereotactic radiotherapyRadiosurgeryRandomized controlled trialRadiologySurgeryBrachytherapy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.064
GPT teacher head0.400
Teacher spread0.336 · 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 designRandomized trial
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

Citations404
Published2021
Admission routes2
Has abstractno

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Same venueThe Lancet OncologySame topicManagement of metastatic bone diseaseFrench-language works237,207