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Record W2974545606 · doi:10.1016/j.jtho.2019.08.2506

EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach

2019· article· en· W2974545606 on OpenAlexafffund
Andrew G. Nicholson, Jennifer L. Sauter, Anna K. Nowak, Hedy L. Kindler, Ritu R. Gill, Martine Rémy‐Jardin, Samuel G. Armato, Lynnette Fernandez‐Cuesta, Raphael Bueno, Nicolas Alcala, Matthieu Foll, Harvey I. Pass, Richard Attanoos, Mary Beth Beasley, Luka Brčić, Kelly J. Butnor, Lucian R. Chirieac, Andrew Churg, Pierre Courtiol, Sanja Đačić, Marc de Perrot, Thomas Frauenfelder, A R Gibbs, Fred R. Hirsch, Kenzo Hiroshima, Aliya N. Husain, Sonja Klebe, Sylvie Lantuéjoul, André L. Moreira, Isabelle Opitz, M. Pérol, Anja C. Roden, Victor L. Roggli, Arnaud Scherpereel, Franck Tirode, Henry D. Tazelaar, William D. Travis, Ming‐Sound Tsao, Paul Van Schil, J Vignaud, Birgit Weynand, Loı̈c Lang-Lazdunski, Ian A. Cree, Valerie W. Rusch, Nicolas Girard, Françoise Galateau-Sallé

Bibliographic record

VenueJournal of Thoracic Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreVancouver General Hospital
FundersPharmaceuticals BayerSandozMerck Sharp and DohmeGenentechDirection Générale de l’offre de SoinsNational Institutes of HealthSiemensAstraZenecaInstitut National Du CancerInstitut National de la Santé et de la Recherche MédicaleLabEx DEvweCANSingapore Police ForceDouglas PharmaceuticalsMerckCentre International de Recherche sur le CancerBoehringer IngelheimUniversity of ChicagoWorld Health OrganizationAgence Nationale de la RechercheCNIBRocheNovartisEuropean Network for Rare Adult Solid CancersAbbVieBristol-Myers SquibbEli Lilly and CompanyNational Cancer InstituteBayerPfizer
KeywordsMedicineMesotheliomaMultidisciplinary approachMedical physicsRadiologyOncologyPathology

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)0.088
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.088
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0060.005
Science and technology studies0.0030.005
Scholarly communication0.0080.004
Open science0.0110.006
Research integrity0.0190.020
Insufficient payload (model declined to judge)0.0030.003

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 head0.046
GPT teacher head0.416
Teacher spread0.370 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations156
Published2019
Admission routes2
Has abstractno

Explore more

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