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Record W6977392437 · doi:10.6084/m9.figshare.22495657

Immunofluorescent staining for differentiated cell markers in intestinal monolayer cultures.

2023· other· en· W6977392437 on OpenAlexaff

Bibliographic record

VenueFigshare · 2023
Typeother
Languageen
FieldMathematics
TopicStatistical Methods and Bayesian Inference
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsStainingMucinMonolayerEpitheliumBrush borderGoblet cellCell culturePositive staining

Abstract

fetched live from OpenAlex

(A) Z-stack image of immunofluorescent staining of a submerged monolayer culture for the mucin protein MUC2, indicating the presence of goblet cells within the monolayer culture (green = MUC2, blue = DAPI). (B) Z-stack image of immunofluorescent staining of a submerged monolayer. VILLIN staining (green) along the apical end of the epithelium indicates the presence of a brush border and ZO-1 staining (red) indicates the presence of tight junctions between cells (blue = DAPI). (C) Z-stack image of immunofluorescent staining of an ALI-differentiated monolayer culture for the mucin protein MUC2, indicating the presence of a significantly larger number of goblet cells within the ALI monolayer culture (green = MUC2, blue = DAPI). (D) Cryosection of the ALI-differentiated monolayer culture, stained for the presence of MUC2 (green) and E-CADHERIN (red) indicating the presence of goblet cells in the epithelium and the secretion of mucus along the apical side of the monolayer culture. (Scale bar = 200 µm).

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.158
Threshold uncertainty score0.528

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1580.038

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 head0.091
GPT teacher head0.373
Teacher spread0.282 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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