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Record W2485724366 · doi:10.1016/j.ejca.2016.06.014

Corrigendum to “Borderline tumours of the ovary: A cohort study of the Arbeitsgemeinschaft Gynäkologische Onkologie AGO Study Group” [Eur J Cancer 49 (2013) 1905–1914]

2016· erratum· de· W2485724366 on OpenAlexaff
Andreas du Bois, Nina Ewald-Riegler, Nikolaus de Gregorio, Alexander Reuß, Sven� Mahner, Christina Fotopoulou, Friedrich Kommoss, Barbara Schmalfeldt, Felix Hilpert, Tanja Fehm, Alexander Burges, Werner Meier, Peter Hillemanns, Lars Hanker, Annette Hasenburg, Hans‐Georg Strauß, Martin Hellriegel, Pauline Wimberger, Mignon-Denise Keyver-Paik, Klaus Baumann, Ulrich Canzler, K. Wollschlaeger, Dirk Michael Forner, Jacobus Pfisterer, W. Schröder, Karsten Münstedt, Barbara Richter, Stefan Kommoss, Steffen Hauptmann

Bibliographic record

VenueEuropean Journal of Cancer · 2016
Typeerratum
Languagede
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRegretCohortMedicineOvaryGynecologyCohort studyGeneral surgeryUniversity hospitalSurgeryInternal 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.315
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations7
Published2016
Admission routes1
Has abstractno

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