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Record W2003697347 · doi:10.1016/j.ejca.2014.07.011

Guidelines for time-to-event end-point definitions in trials for pancreatic cancer. Results of the DATECAN initiative (Definition for the Assessment of Time-to-event End-points in CANcer trials)

2014· review· en· W2003697347 on OpenAlexaff
Franck Bonnetain, Bert A. Bonsing, Thierry Conroy, A. Dousseau, Bengt Glimelius, Karin Haustermans, F Lacaine, Jean Luc Van Laethem, Thomas Aparicio, Daniela Aust, Claudio Bassi, Virginie Berger, Emmanuel Chamorey, Benoist Chibaudel, L. Dahan, Aimery de Gramont, Jean‐Robert Delpéro, Christos Dervenis, Michel Ducreux, Jocelyn Gal, Erich Gerber, Paula Ghaneh, Pascal Hammel, Alain Hendlisz, Valérie Jooste, Roberto Labianca, Aurélien Latouche, Manfred P. Lutz, Teresa Macarulla, David Malka, M. Mauer, Emmanuel Mitry, John P. Neoptolemos, Patrick Pessaux, Alain Sauvanet, Josep Tabernero, Julien Taı̈eb, Geertjan van Tienhoven, S. Gourgou-Bourgade, Carine Bellera, Simone Mathoulin‐Pélissier, Laurence Collette

Bibliographic record

VenueEuropean Journal of Cancer · 2014
Typereview
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
FundersLigue Contre le CancerNational Institute for Health and Care ResearchCancer Research UK
KeywordsMedicinePancreatic cancerEvent (particle physics)Randomized controlled trialClinical endpointClinical trialDelphi methodEnd pointSurrogate endpointTime pointDelphiMedical physicsCancerComputer scienceInternal medicineArtificial intelligence

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)0.037
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.488
GPT teacher head0.545
Teacher spread0.056 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations69
Published2014
Admission routes1
Has abstractno

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