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Record W4361884352 · doi:10.1158/1078-0432.22456220

Supplementary Figure 3 from Tumoral Lymphocytic Infiltration and Expression of the Chemokine CXCL10 in Breast Cancers from the Ontario Familial Breast Cancer Registry

2023· preprint· en· W4361884352 on OpenAlexaboutno aff
Anna Marie Mulligan, Irene Raitman, Linda Feeley, Dushanthi Pinnaduwage, Linh T. Nguyen, Frances P. O’Malley, Pamela S. Ohashi, Irene L. Andrulis

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsFOXP3ChemokineMedicineBreast carcinomaCancer researchBreast cancerMolecular biologyCancerInternal medicineBiologyImmunologyImmune systemReceptor

Abstract

fetched live from OpenAlex

PDF file - 9585K, Supplementary Figure S3: (A) Representative FOXP3 stained TMA (x1.25). (B) Invasive carcinoma showing absence of FOXP3+ lymphocytes (x20). (C-D) Rare intratumoral FOXP3+ lymphocytes (<10) (x20, x40, respectively). (E-F) Intratumoral FOXP3+ lymphocytes (>10) (x20, x40, respectively). (G) Representative T-BET stained TMA (x1.25). (H) Invasive carcinoma showing absence of T-BET+ lymphocytes (x20). (I-J) Rare intratumoral T-BET+ lymphocytes (<10) (x20, x40, respectively). (K-L) Intratumoral T-BET+ lymphocytes (>10) (x20, x40, respectively).

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.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.787
Threshold uncertainty score0.555

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6110.078

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 head0.019
GPT teacher head0.262
Teacher spread0.242 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2023
Admission routes1
Has abstractyes

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