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Record W2228221433 · doi:10.1016/j.jtho.2015.09.009

The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer

2016· article· en· W2228221433 on OpenAlexaff
Peter Goldstraw, Kari Chansky, John Crowley, Ramón Rami–Porta, Hisao Asamura, Wilfried Eberhardt, Andrew G. Nicholson, Patti A. Groome, Alan Mitchell, Vanessa Bolejack, David Ball, David G. Beer, Frank Detterbeck, John Edwards, Françoise Galateau-Sallé, Dorothy J. Giroux, Fergus Gleeson, James Huang, Catherine Kennedy, Young Tae Kim, Laura Kingsbury, Haruhiko Kondo, Mark Krasnik, Kaoru Kubota, Antoon Lerut, Gustavo Lyons, Mirella Marino, Edith M. Marom, Jan P. van Meerbeeck, Takashi Nakano, Anna K. Nowak, Michael Peake, Thomas W. Rice, Kenneth E. Rosenzweig, Enrico Ruffini, Valerie W. Rusch, Nagahiro Saijo, Paul Van Schil, Jean‐Paul Sculier, Lynn Shemanski, 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, Felipe 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 · 2016
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsQueen's University
FundersSamsungHyogo College of MedicineUniversidade de São PauloSeoul National UniversityImperial College LondonInternational Association for the Study of Lung CancerKeio UniversityYale UniversityPeter MacCallum Cancer CentreNational Cancer InstituteCleveland ClinicMemorial Sloan-Kettering Cancer CenterGentofte HospitalCancer Research Institute
KeywordsMedicineLung cancerStage (stratigraphy)Lung cancer stagingBiostatisticsGlobeCancerOncologyMedical physicsInternal medicineEpidemiology

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)0.091
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 score0.119
Threshold uncertainty score0.463

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.091
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0070.008
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0110.005
Research integrity0.0070.014
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 head0.042
GPT teacher head0.463
Teacher spread0.421 · 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

Citations4,643
Published2016
Admission routes1
Has abstractno

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