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Record W2801566752 · doi:10.1002/celc.201800324

Direct Bisulfite‐Free Detection of 5‐Methylcytosine by Using Electrochemical Measurements Aided by a Monoclonal Antibody

2018· article· en· W2801566752 on OpenAlex
Stephan H. H. Schiefelbein, Ajar Kamal, Zhe She, Andrea Rentmeister, Heinz‐Bernhard Kraatz

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

VenueChemElectroChem · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersDeutsche Forschungsgemeinschaft
KeywordsDielectric spectroscopyBisulfiteMonoclonal antibodyDNAChemistryNucleic acidElectrochemistryAnalytical Chemistry (journal)ElectrodeMaterials scienceDNA methylationChromatographyAntibodyBiochemistryBiologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract The detection of the epigenetic DNA marker 5‐methylcytosine (5mC) has been the focus of intense research. Here, we report a new detection method, using electrochemical impedance spectroscopy, scanning electrochemical microscopy, and voltammetric measurements on gold electrodes. The direct, label‐free detection of 5mC at different positions within dsDNA is achieved with the aid of a monoclonal anti‐5mC antibody, providing a new tool to monitor nucleic acid modifications.

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 categoriesMeta-epidemiology (narrow)
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 score0.037
Threshold uncertainty score1.000

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 head0.017
GPT teacher head0.284
Teacher spread0.267 · 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