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Record W3135521482 · doi:10.17504/protocols.io.4u5gwy6

How to Culture Human Bronchial Epithelial Cells as Airway Organoids v1

2019· preprint· en· W3135521482 on OpenAlexaff
Stemcell Technologies

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsStemcell Technologies
Fundersnot available
KeywordsOrganoidCell cultureCell biologyAirwayCellEpitheliumBiologyMedicineGenetics

Abstract

fetched live from OpenAlex

Human bronchial epithelial cells (HBECs) are typically cultured at the air-liquid interface (ALI) to functionally recapitulate the human airway. ALI cultures are formed by plating primary HBECs onto porous cell culture inserts and allowing the cells to achieve confluence prior to removing the culture medium from the apical surface of the cells. However, the requirement of porous culture inserts can limit the application of ALI culture to smaller scale experiments, thus largely precluding high-throughput drug screening of differentiated epithelial cultures. Alternatively, HBECs may be cultured and differentiated as spherical aggregates, providing a means for high-throughput study of the differentiated human airway. This protocol describes a method for the culture of differentiated HBECs as spherical structures known as broncospheres or airway organoids.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.017

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 head0.038
GPT teacher head0.370
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations1
Published2019
Admission routes1
Has abstractyes

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