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Record W4250006319 · doi:10.1007/978-1-62703-589-7_16

Profiling of Cytokine and Chemokine Responses Using Multiplex Bead Array Technology

2013· article· en· W4250006319 on OpenAlex
Greg Harris, Wangxue Chen

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

VenueMethods in molecular biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Biosensing Techniques and Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMultiplexChemokineCytokineBronchoalveolar lavageBeadIn vivoMolecular biologyBiologyImmunologyImmune systemChemistryMedicineMaterials scienceBioinformaticsBiotechnology

Abstract

fetched live from OpenAlex

Multiplex bead array technology expands upon the principles of the enzyme-linked immunosorbent assay by allowing the simultaneous quantification of a large number of cytokines and chemokines within a single sample. This allows for the researcher more freedom to investigate complex immune responses both in vivo and in vitro. Here we describe the detailed assay protocol and technical tips for simultaneous quantification of multiple cytokines and chemokines in mouse biological fluids such as sera, bronchoalveolar lavage fluid, tissue homogenate supernatant, and tissue culture supernatant, using a multiplex bead array assay.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.142
Threshold uncertainty score0.641

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 studies0.0000.000
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 head0.025
GPT teacher head0.404
Teacher spread0.379 · 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