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Record W2042823833 · doi:10.1016/j.ijrobp.2011.02.008

Update of the International Consensus on Palliative Radiotherapy Endpoints for Future Clinical Trials in Bone Metastases

2011· article· en· W2042823833 on OpenAlexaff
Edward Chow, Peter Hoskin, Gunita Mitera, Liang Zeng, Stephen Lutz, Daniel Roos, Carol A. Hahn, Yvette M. van der Linden, William F. Hartsell, Eshwar Kumar

Bibliographic record

VenueInternational Journal of Radiation Oncology*Biology*Physics · 2011
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsSaint John Regional HospitalHealth Sciences CentreSunnybrook Health Science Centre
FundersRoyal Australian and New Zealand College of Radiologists
KeywordsMedicineRadiation therapyMedical physicsClinical trialIntensive care medicineRadiologyInternal medicine

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)0.131
metaresearch head score (Gemma)0.109
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1310.109
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.010
Bibliometrics0.0040.005
Science and technology studies0.0020.003
Scholarly communication0.0090.005
Open science0.0100.006
Research integrity0.0100.026
Insufficient payload (model declined to judge)0.0050.004

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 head0.132
GPT teacher head0.449
Teacher spread0.316 · 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.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations357
Published2011
Admission routes1
Has abstractno

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Same venueInternational Journal of Radiation Oncology*Biology*PhysicsSame topicManagement of metastatic bone diseaseFrench-language works237,207