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Record W4387107309 · doi:10.1016/j.jtho.2023.09.1447

The International Association for the Study of Lung Cancer Thymic Epithelial Tumors Staging Project: Proposals for the N and the M Components for the Forthcoming (Ninth) Edition of the TNM Classification of Malignant Tumors

2023· article· en· W4387107309 on OpenAlexafffund
Wentao Fang, Nicolas Girard, Vanessa Cilento, Emily Goren, Daniel T. Dibaba, Enrico Ruffini, Usman Ahmad, Sarit Appel, Andrea Billè, Souheil Boubia, Cecilia Brambilla, Ayten Cangır, Frank Detterbeck, Conrad Falkson, Pier Luigi Filosso, Giuseppe Giaccone, Francesco Guerrera, James Huang, Maurizio Infante, Dong Kwan Kim, Marco Lucchi, Mirella Marino, Edith M. Marom, Andrew G. Nicholson, Meinoshin Okumura, Ramón Rami–Porta, Andreas Rimner, Charles B. Simone, Hisao Asamura

Bibliographic record

VenueJournal of Thoracic Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicMyasthenia Gravis and Thymoma
Canadian institutionsQueen's University
FundersInstitut universitaire de cardiologie et de pneumologie de Québec, Université LavalShanghai Chest HospitalHealth Science Center, University of TennesseeShanghai Pulmonary HospitalPeking UniversityUniversiteit AntwerpenChugai PharmaceuticalTechnische Universität MünchenUniversidad de NavarraUniversiteit GentSoochow UniversityAstellas PharmaEisaiUniversitair Ziekenhuis GentCentro de Investigación Biomédica en Red de CáncerFudan UniversityEuropean Society for Medical OncologyUniversity of TorontoYale UniversityAlexion PharmaceuticalsSeoul National UniversityMount Sinai Health SystemImperial College LondonKanazawa UniversityMassachusetts General HospitalUniversity of AberdeenKindai UniversityComprehensive Cancer Center, City of HopeUniversity of ChicagoNational Cancer InstituteNSW Health PathologyQueen's UniversityHarvard UniversityOhio State UniversityVarian Medical SystemsUniversity of Texas Southwestern Medical CenterMemorial Sloan-Kettering Cancer CenterMerckSamsungChina Medical UniversityBristol-Myers SquibbAstraZenecaHyogo College of MedicineSungkyunkwan UniversityBrigham and Women's HospitalPfizer
KeywordsThymic carcinomaMedicineThymomaStage (stratigraphy)Lymph nodeLung cancerCancerTNM staging systemOncologyInternal medicineNeuroendocrine tumorsCarcinomaPathologyStaging system

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.420
Teacher spread0.374 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations27
Published2023
Admission routes2
Has abstractno

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