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Record W4404634272 · doi:10.1016/j.jtho.2024.11.016

Differentiating Separate Primary Lung Adenocarcinomas From Intrapulmonary Metastases With Emphasis on Pathological and Molecular Considerations: Recommendations From the International Association for the Study of Lung Cancer Pathology Committee

2024· review· en· W4404634272 on OpenAlexaff
Teh‐Ying Chou, Sanja Đačić, Ignacio Wistuba, Mary Beth Beasley, Sabina Berezowska, Yeun‐Chung Chang, Jin-Haeng Chung, Casey Connolly, Yuchen Han, Fred R. Hirsch, David Hwang, Andrew Janowczyk, Philippe Joubert, Keith M. Kerr, Dongmei Lin, Yuko Minami, Mari Mino–Kenudson, Andrew G. Nicholson, Mauro Papotti, Natasha Rekhtman, Anja C. Roden, William D. Travis, Ming‐Sound Tsao, Yasushi Yatabe, Yi-Chen Yeh, Lukas Bubendorf, Wei‐Chin Chang, Valeria Denninghoff, Fábio Távora, Takuo Hayashi, Paul Hofman, Deepali Jain, Tae Jung Kim, Sylvie Lantuéjoul, John Le Quesne, Fernando López‐Ríos, Daisuke Matsubara, Masayuki Noguchi, Teodora Radonic, Anjali Saqi, Kurt A. Schalper, Hyo Sup Shim, Lynette M. Sholl, Annikka Weissferdt, Wendy A. Cooper

Bibliographic record

VenueJournal of Thoracic Oncology · 2024
Typereview
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsUniversity of TorontoUniversity Health NetworkInstitut universitaire de cardiologie et de pneumologie de QuébecSunnybrook Health Science Centre
FundersChugai PharmaceuticalGenentechTaipei Veterans General HospitalDaiichi-SankyoUniversity of GlasgowCancer Research UKNovocureRegeneron PharmaceuticalsEMD SeronoInternational Association for the Study of Lung CancerDaiichi Sankyo EuropeSanofiG1 TherapeuticsAmgenPfizerAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicinePathologicalPathologyLungMolecular pathologyAdenocarcinomaInternal medicineCancer

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)0.006
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.057
GPT teacher head0.454
Teacher spread0.397 · 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
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

Citations33
Published2024
Admission routes1
Has abstractno

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