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Record W1964207842 · doi:10.1177/0885328206062139

Picoliter Wells from Selective Growth of HEK293 Cells on Chemically Modified PDMS Surfaces

2007· article· en· W1964207842 on OpenAlex
Gerardo A. Diaz‐Quijada, Shirin Farrahi, J.S. Clarke, Angela M. Tonary, John Paul Pezacki

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

VenueJournal of Biomaterials Applications · 2007
Typearticle
Languageen
FieldEngineering
TopicNanofabrication and Lithography Techniques
Canadian institutionsSteacie Institute for Molecular SciencesNational Research Council Canada
Fundersnot available
KeywordsHEK 293 cellsBifunctionalAdhesionMaterials scienceNanotechnologyCell adhesionBiophysicsChemical engineeringChemistryBiochemistryBiologyComposite material

Abstract

fetched live from OpenAlex

In this study, a method for the rapid generation of a variety of bifunctional surfaces that can serve to quickly determine the selective adhesion of HEK293 cells towards different chemical functionalities has been established. Using the information about selective adhesion of HEK293 cells to bifunctional surfaces, we demonstrate the ability to construct stable, high density, and multi-welled surfaces where the mammalian cells form the walls of picoliter volume wells.

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 score0.040
Threshold uncertainty score0.471

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 head0.006
GPT teacher head0.227
Teacher spread0.220 · 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