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Record W4253006086 · doi:10.1016/s0167-8140(15)00020-1

Contents

2015· paratext· en· W4253006086 on OpenAlexaff
Birgitte Vrou Offersen, L.J. Boersma, C. Kirkove, S. Hol, Marianne Aznar, Antonella Sola, Y. Kirova, Jean‐Philippe Pignol, Vincent Remouchamps, Karolien Verhoeven, Caroline Weltens, Meritxell Arenas, Dorota Gabryś, Neil Kopek, Martín Krause, Dan Lundstedt, Tanja Marinko, Á. Montero, J.R. Yarnold, B Veldeman, E Lengele, C Hortobagyi, Timothy Lymberiou, Susanne Galuszka, G. Lee, Wei Xu, Anthony Fyles, Sheng Su, Thomas G. Purdie, Pamela Catton, Caroline Chung, Robert Dinniwell, Anne Koch, William P. Levin, L. Manchul, Padraig Warde, Fei‐Fei Liu, H Aguiar, Izamélia Pereira, Luciano César Pontes Azevedo, Stephanie Corradini, Maximilian Niyazi, Olivier M. Niemoeller, M Li, Falk Roeder, Renate Eckel, G Schubert-Fritschle, Heike Scheithauer, N Harbeck, J. Engel, Claus Belka, Germany, F. John Lewis, Isabelle Merckaert, Aurore Liénard, Yves Libert, A. -M. Etienne, Christine Reynaert, Jean‐Louis Slachmuylder, Pierre Scalliet, P. Van Houtte, Philippe Coucke, E Salamon, Darius Razavi, G Marta, Christine Macedo, Heloísa de Andrade Carvalho, Samir Abdallah Hanna, J Da Silva, Rachel Riera

Bibliographic record

VenueRadiotherapy and Oncology · 2015
Typeparatext
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.264
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7360.584

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 head0.054
GPT teacher head0.362
Teacher spread0.307 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractno

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Same venueRadiotherapy and OncologyFrench-language works237,207