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Record W3094192068 · doi:10.1016/j.jtho.2020.09.027

Neoadjuvant Chemotherapy Increases Cytotoxic T Cell, Tissue Resident Memory T Cell, and B Cell Infiltration in Resectable NSCLC

2020· article· en· W3094192068 on OpenAlexafffund
Pierre-Olivier Gaudreau, Marcelo V. Negrão, K. G. Mitchell, Alexandre Reuben, Erin M. Corsini, Jun Li, Tatiana V. Karpinets, Qi Wang, Lixia Diao, Jing Wang, Lorenzo Federico, Edwin R. Parra-Cuentas, Roohussaba Khairullah, Carmen Behrens, Arlene M. Correa, Daniel R. Gomez, Latasha Little, Curtis Gumbs, Humam Kadara, Junya Fujimoto, Daniel J. McGrail, Ara A. Vaporciyan, Stephen G. Swisher, Garrett L. Walsh, Mara B. Antonoff, Annikka Weissferdt, Hai T. Tran, Emily Roarty, Cara Haymaker, Chantale Bernatchez, Jianhua Zhang, P. Andrew Futreal, Ignacio I. Wistuba, Tina Cascone, John V. Heymach, Boris Sepesi, Jianjun Zhang, Don L. Gibbons

Bibliographic record

VenueJournal of Thoracic Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsQueen's University
FundersJanssen BiotechFonds de Recherche du Québec - SantéUniversity of Texas MD Anderson Cancer CenterBill and Katie Weaver Charitable TrustEMD SeronoCancer Prevention and Research Institute of TexasGenentechInnovent BiologicsAstellas PharmaBayer FundTakeda Pharmaceutical CompanyRibon TherapeuticsMerckSpectrum PharmaceuticalsNorth Carolina GlaxoSmithKline FoundationNational Cancer InstituteBayerExelixisSanofiGlaxoSmithKlineSociety for Immunotherapy of CancerAstellas Pharma USEli Lilly and CompanyBristol-Myers SquibbAstraZenecaBoehringer Ingelheim
KeywordsMedicineInfiltration (HVAC)Cytotoxic T cellChemotherapyOncologyCellInternal medicineCancer researchIn vitro

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.355
Teacher spread0.335 · 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 designBench or experimental
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

Citations106
Published2020
Admission routes2
Has abstractno

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