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Record W2017183384 · doi:10.1089/ten.2006.12.657

Functional Characterization of Embryonic Stem Cell-Derived Cardiomyocytes Using Scanning Ion Conductance Microscopy

2006· article· en· W2017183384 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

VenueTissue Engineering · 2006
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsWomen's Health Research Institute
FundersBiotechnology and Biological Sciences Research CouncilBritish Heart Foundation
KeywordsEmbryonic stem cellConductanceScanning ion-conductance microscopyContraction (grammar)BiophysicsBiomedical engineeringMicroscopyChemistryMaterials sciencePhysicsBiologyEngineeringOpticsBiochemistry

Abstract

fetched live from OpenAlex

We report here the novel use of scanning ion conductance microscopy (SICM) to produce surface images of embryonic stem cell-derived cardiomyocytes (ESCM) to identify individual contracting cardiomyocytes among different cell types. By measuring amplitude and rhythm we can quantitate contraction of ESCM. This method gives, within the same experiment, an assessment of the number and position of ESCM within the layer of mixed cell types, as well as an accurate measure of the response of individual ESCM. Using different modulators of contraction as examples we showed how SICM could be used for recording their responses. We subsequently demonstrated that this model can be used to investigate the protective effect of antiarrhythmogenic drugs.

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 score0.033
Threshold uncertainty score0.532

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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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