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Record W2609444947 · doi:10.1016/j.jtho.2017.04.011

The IASLC Lung Cancer Staging Project: External Validation of the Revision of the TNM Stage Groupings in the Eighth Edition of the TNM Classification of Lung Cancer

2017· article· en· W2609444947 on OpenAlexaff
Kari Chansky, Frank Detterbeck, Andrew G. Nicholson, Valerie W. Rusch, Eric Vallières, Patti A. Groome, Catherine J. Kennedy, Mark Krasnik, Michael Peake, Lynn Shemanski, Vanessa Bolejack, John J. Crowley, Hisao Asamura, Ramón Rami–Porta, Peter Goldstraw, David Ball, David G. Beer, John Crowley, Wilfried Eberhardt, John Edwards, Françoise Galateau-Sallé, Dorothy J. Giroux, Fergus Gleeson, James Huang, Young Tae Kim, Laura Kingsbury, Haruhiko Kondo, Kaoru Kubota, Antoon Lerut, Gustavo Lyons, Mirella Marino, Edith M. Marom, Jan P. van Meerbeeck, Alan Mitchell, Takashi Nakano, Anna K. Nowak, Thomas W. Rice, Kenneth E. Rosenzweig, Enrico Ruffini, Nagahiro Saijo, Paul Van Schil, Jean‐Paul Sculier, Kelly Stratton, Kenji Suzuki, Yuji Tachimori, Charles F. Thomas, William D. Travis, Ming‐Sound Tsao, Andrew T. Turrisi, Johan Vansteenkiste, Hirokazu Watanabe, Yi‐Long Wu, Jeremy Erasmus, Seiki Hasegawa, Kouki Inai, Kemp H. Kernstine, Hedy L. Kindler, Lee M. Krug, Kristiaan Nackaerts, Harvey I. Pass, David C. Rice, Conrad Falkson, Pier Luigi Filosso, Giuseppe Giaccone, Kazuya Kondo, Marco Lucchi, Meinoshin Okumura, Eugene H. Blackstone, F. Abad Cavaco, Emilio Ansótegui Barrera, J. Abal Arca, Isaura Parente Lamelas, A. Arnau Obrer, G.K. Bascom, Ana Isabel Blanco Orozco, M. A. González Castro, Matthew G. Blum, Domingo Chimondeguy, Vlado Cvijanović, Sebastián Defranchi, B. de Olaiz Navarro, I. Escobar Campuzano, E. Fernández Araujo, F. Andreo García, Kwun M. Fong, Gloria Francisco Corral, S. Cerezo González, J. Freixinet Gilart, L. García Arangüena, S. García Barajas, Philippe Girard, Tuncay Göksel, M.T. González Budiño, Guillermo González Casaurrán, José Antonio Gullón Blanco, Jesús Hernández Hernández, H. Hernández Rodríguez, J. Herrero Collantes, M. Iglesias Heras, José Miguel Izquierdo Elena, Erik Jakobsen, S. Kostas, Pablo León Atance, Ana Núñez Ares, M. Liao, M. Losanovscky, R. Magaroles, L. De Esteban Júlvez, M. Mariñán Gorospe, Brian C. McCaughan, Rosario Melchor Íñiguez, Luis Miravet Sorribes, S. Naranjo Gozalo, C. Álvarez de Arriba, M. Núñez Delgado, J. Padilla Alarcón, Juan Carlos Peñalver Cuesta, James Park, M.J. Pavón Fernández, M Rosenberg, Julio Sánchez de Cos Escuín, A. Saura Vinuesa, M. Serra Mitjans, Trond‐Eirik Strand, Dragan Subotic, Stephen G. Swisher, Ricardo Mingarini Terra, C. Thomas, Kurt G. Tournoy, Mauricio Velásquez, K. Yokoi

Bibliographic record

VenueJournal of Thoracic Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsQueen's University
FundersInternational Association for the Study of Lung Cancer
KeywordsMedicineStage (stratigraphy)TNM staging systemLung cancerLung cancer stagingOncologyCancerRadiologyNeoplasm stagingInternal medicineMediastinoscopy

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)0.040
metaresearch head score (Gemma)0.057
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.057
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0030.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.042
GPT teacher head0.460
Teacher spread0.418 · 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 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

Citations507
Published2017
Admission routes1
Has abstractno

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