MétaCan
Menu
Back to cohort
Record W3180071894 · doi:10.1016/j.xpro.2021.100627

Optimized protocol for immunophenotyping of melanoma and tumor-bearing skin from mouse

2021· article· en· W3180071894 on OpenAlexafffund
Sai Sakktee Krisna, Christophe Gonçalves, Natascha Gagnon, Fan Huang, Dany Plourde, Wilson H. Miller, Jörg H. Fritz, Sonia V. del Rincón

Bibliographic record

VenueSTAR Protocols · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsJewish General HospitalMcGill University
FundersLady Davis Institute for Medical ResearchFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCanada Foundation for InnovationMcGill University
KeywordsImmunophenotypingImmune systemFlow cytometryMelanomaInnate lymphoid cellInnate immune systemBiologyImmunologyCellCancer research

Abstract

fetched live from OpenAlex

While isolating immune cells from spleens and lungs is routinely achieved using flow cytometry, it is challenging to isolate viable immune cells from skin. Here, we describe a step-by-step protocol for skin digestion using a murine melanoma model, which is amenable for detection of low abundant immune cell populations including group 2 innate lymphoid cells.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.129
Threshold uncertainty score0.876

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 studies0.0000.000
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 head0.032
GPT teacher head0.299
Teacher spread0.268 · 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
GenreProtocol

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

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueSTAR ProtocolsSame topicIL-33, ST2, and ILC PathwaysFrench-language works237,207