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Record W2096837791 · doi:10.3109/10520295.2013.836681

Thiosemicarbazide-ferricyanide reduction for the histochemical demonstration of aldehydes in tissue sections

2013· article· en· W2096837791 on OpenAlex

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

VenueBiotechnic & Histochemistry · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsLeukemia & Lymphoma Society of Canada
Fundersnot available
KeywordsFerricyanideFerrocyanideChemistryMoietyHydrazine (antidepressant)Prussian blueHydrolysisAqueous solutionNuclear chemistrySalt (chemistry)Inorganic chemistryOrganic chemistryBiochemistryElectrochemistry

Abstract

fetched live from OpenAlex

Aldehydes produced from carbohydrates by oxidation or acid hydrolysis may be visualized by application of aqueous thiosemicarbazide followed by Schmorl's ferricyanide reduction. The thiosemicarbazide reacts with the aldehydes by its hydrazine group, while its thiocarbamyl group remains active. The thiocarbamyl moiety is a strong reducing group that converts ferricyanide to ferrocyanide in Schmorl's reaction. The ferrocyanide is trapped immediately by the ferric salt, which deposits Prussian blue at the site of the aldehydes thereby demonstrating the location of the original substance.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.580

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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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