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Record W4380869827 · doi:10.1093/cei/uxad067

Unconventional T cells in chronic disease and as targets of therapy

2023· article· en· W4380869827 on OpenAlexafffundabout
Samuel B. Shin, Kelly M. McNagny

Bibliographic record

VenueClinical & Experimental Immunology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsColumbia universityMedical schoolMedicineLibrary scienceGerontologyClassicsFamily medicineHistorySociologyMedia studiesMedical education

Abstract

fetched live from OpenAlex

Journal Article Accepted manuscript Unconventional T cells in Chronic Disease and as Targets of Therapy Get access Samuel B Shin, Samuel B Shin School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada Search for other works by this author on: Oxford Academic Google Scholar Kelly M McNagny Kelly M McNagny School of Biomedical Engineering, University of British Columbia, Vancouver, BC, CanadaDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, CanadaCentre for Heart and Lung Innovation (HLI), St Paul’s Hospital, Vancouver, BC, Canada Correspondence: Prof. Kelly M. McNagny, The University of British Columbia, The Biomedical Research Centre & School of Biomedical Engineering, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, CANADA, kelly@brc.ubc.ca Search for other works by this author on: Oxford Academic Google Scholar Clinical and Experimental Immunology, uxad067, https://doi.org/10.1093/cei/uxad067 Published: 16 June 2023 Article history Received: 14 June 2023 Published: 16 June 2023

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.182
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.038
GPT teacher head0.364
Teacher spread0.326 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2023
Admission routes3
Has abstractyes

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