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Record W2012952854 · doi:10.1080/10520290701333475

Certification procedures for nuclear fast red (Kernechtrot), CI 60760

2007· article· en· W2012952854 on OpenAlexaff
M Frank, R. W. Dapson, Tw Wickersham, J. A. Kiernan

Bibliographic record

VenueBiotechnic & Histochemistry · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsStainingConfusionStainReagentChemistryChromatographyBiologyGenetics

Abstract

fetched live from OpenAlex

Nuclear fast red (CI 60760), also known as Kernechtrot, is commonly used in conjunction with an excess of aluminum ions as a red nuclear counterstain following histochemical procedures that yield blue products. The dye has also been used as a histochemical and colorimetric reagent for calcium. Unsatisfactory samples of nuclear fast red are encountered occasionally, and confusion has resulted from applying the name of the dye to neutral red (CI 50040), an unrelated compound with different properties. Tests for the identity and performance of nuclear fast red have been developed in the laboratory of the Biological Stain Commission. The Commission will now accept samples submitted by vendors for certification. We describe here the spectrophotometric, chromatographic and biological staining methods that are used to identify and test nuclear fast red.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.118
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1180.087

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 head0.010
GPT teacher head0.266
Teacher spread0.257 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations9
Published2007
Admission routes1
Has abstractyes

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