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Record W3026247088 · doi:10.1245/s10434-020-08589-1

ASO Author Reflections: Current Issues in Conduct and Reporting of Noninferiority Randomized Controlled Trials in the Surgical Management of Cancer Patients

2020· article· en· W3026247088 on OpenAlexaff
Wanda Marini, David Moher, David R. McCready, Armen Parsyan

Bibliographic record

VenueAnnals of Surgical Oncology · 2020
Typearticle
Languageen
FieldMathematics
TopicStatistical Methods in Clinical Trials
Canadian institutionsLondon Health Sciences CentreWestern UniversityUniversity of OttawaOttawa HospitalPrincess Margaret Cancer CentreSt Joseph's Health CareUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsSurgical oncologyMedicineRandomized controlled trialGeneral surgeryMedical physicsMEDLINEOncologySurgery

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)0.457
metaresearch head score (Gemma)0.775
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.543
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4570.775
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0050.008
Science and technology studies0.0060.025
Scholarly communication0.0220.015
Open science0.0100.006
Research integrity0.0510.096
Insufficient payload (model declined to judge)0.0110.009

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 head0.833
GPT teacher head0.698
Teacher spread0.135 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
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

Citations0
Published2020
Admission routes1
Has abstractno

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