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Record W3104163849 · doi:10.1002/adma.202070345

Microfluidics: IFlowPlate—A Customized 384‐Well Plate for the Culture of Perfusable Vascularized Colon Organoids (Adv. Mater. 46/2020)

2020· article· en· W3104163849 on OpenAlexaff
Shravanthi Rajasekar, Dawn S. Y. Lin, Lyan Abdul, Amy Liu, Alexander Sotra, Feng Zhang, Boyang Zhang

Bibliographic record

VenueAdvanced Materials · 2020
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOrganoidMicrofluidicsStem cellCell biologyBiomedical engineeringVascular networkCell cultureMaterials scienceBiologyNanotechnologyAnatomyMedicine

Abstract

fetched live from OpenAlex

Human stem-cell-derived organoids have provided new opportunities to model biological processes and recapitulate organ development. However, organoid systems lack perfusable vascular networks to deliver nutrients and drugs. In article number 2002974, Boyang Zhang and co-workers introduce IFlowPlate—a microfluidic system with an “open-well” design in a 384-well plate format that can be used to vascularize and intravascularly perfuse organoids. This image shows three independently perfused microvascular networks in an IFlowPlate.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.247
Teacher spread0.236 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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