MétaCan
Menu
Back to cohort
Record W2756847895 · doi:10.1016/j.ijrobp.2018.11.051

Long-term Follow-up on NRG Oncology RTOG 0915 (NCCTG N0927): A Randomized Phase 2 Study Comparing 2 Stereotactic Body Radiation Therapy Schedules for Medically Inoperable Patients With Stage I Peripheral Non-Small Cell Lung Cancer

2018· article· en· W2756847895 on OpenAlexaff
Gregory M.M. Videtic, Rebecca Paulus, Anurag K. Singh, Joe Y. Chang, William Parker, Kenneth R. Olivier, Robert Timmerman, Ritsuko Komaki, James J. Urbanic, Kevin L. Stephans, Sue S. Yom, Clifford G. Robinson, Chandra P. Belani, Puneeth Iyengar, Munther Ajlouni, Darindra Gopaul, Jorge B. Gomez Suescun, Ronald C. McGarry, Hak Choy, Jeffrey D. Bradley

Bibliographic record

VenueInternational Journal of Radiation Oncology*Biology*Physics · 2018
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsMcGill University
FundersNational Cancer InstituteViewRayNRG OncologyBristol-Myers SquibbAccurayElektaVarian Medical Systems
KeywordsMedicineRadiation therapyRandomized controlled trialOncologyInternal medicineStage (stratigraphy)Medical physicsRadiology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.367
Teacher spread0.345 · 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

Citations291
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Radiation Oncology*Biology*PhysicsSame topicLung Cancer Diagnosis and TreatmentFrench-language works237,207