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Record W2529293100 · doi:10.1111/exd.13240

High diversity of the T‐cell receptor repertoire of tumor‐infiltrating lymphocytes in basal cell carcinoma

2016· letter· en· W2529293100 on OpenAlex
Silje Haukali Omland, Abdelbasset Hamrouni, Robert Gniadecki

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExperimental Dermatology · 2016
Typeletter
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsUniversity of Alberta
FundersKræftens Bekæmpelse
KeywordsRepertoireBasal cell carcinomaBasal (medicine)ReceptorDiversity (politics)Tumor-infiltrating lymphocytesBiologyPathologyCancer researchBasal cellImmunologyMedicineImmune systemEndocrinologyImmunotherapyGeneticsArtSociologyAnthropology

Abstract

fetched live from OpenAlex

Whether specific T-cell clones are present in tumor infiltrating lymphocytes (TILs) in BCC is unknown. We employed deep sequencing of mRNA coding for the T-cell receptor (TCR) chains α- and β to characterize the repertoire of TILs in BCC. V and J gene-usage and CDR3 length were computed to determine the clonality of TCR and degree of overlap in TCR repertoires between skin resident T-cells and TILs. We found high diversity of the TCR repertoire in BCC and control skin with random V-J gene usage and similar CDR3-length distribution. Lack of TCR repertoire restriction indicates absence of tumor-specific TIL clones in BCC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.011
GPT teacher head0.229
Teacher spread0.217 · 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