MétaCan
Menu
Back to cohort
Record W3081188415 · doi:10.1002/smll.202070190

Single Cell Isolation: One Cell, One Drop, One Click: Hybrid Microfluidics for Mammalian Single Cell Isolation (Small 34/2020)

2020· article· en· W3081188415 on OpenAlexaff
Kenza Samlali, Fatemeh Ahmadi, Angela B. V. Quach, Guy Soffer, Steve C. C. Shih

Bibliographic record

VenueSmall · 2020
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsConcordia University
Fundersnot available
KeywordsMicrofluidicsDigital microfluidicsclone (Java method)Drop (telecommunication)NanotechnologyMicrofluidic chipIsolation (microbiology)CellSortingCell sortingMaterials scienceBiologyComputer scienceDNAOptoelectronicsBioinformaticsGeneticsTelecommunications

Abstract

fetched live from OpenAlex

Here, a gene-edited single clone of a cancer cell line, isolated in a droplet, is being pulled out of a microfluidic trap. By combining digital microfluidics and a channel architecture, a single cell is trapped and encapsulated in article number 2002400 by Steve C. C. Shih and co-workers. With the click of a button, droplet movements can be performed, sorting out the clone for recovery off the chip.

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 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: none
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.213
Teacher spread0.178 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueSmallSame topicInnovative Microfluidic and Catalytic Techniques InnovationFrench-language works237,207