MétaCan
Menu
Back to cohort

Additional file 11 of Microfluidic chip systems for characterizing glucose-responsive insulin-secreting cells equipped with FailSafe kill-switch

2024· article· en· W6958322852 on OpenAlex

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

VenueFigshare · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsUniversity Health NetworkUniversity of TorontoLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsDAPIFlow cytometryPopulationChipMicrofluidic chipCellMicrofluidicsFluorescence

Abstract

fetched live from OpenAlex

Additional file 11. Supplementary Figure: Phase contrast and fluorescence images depict FSβiPLCs stained with DAPI (blue) and anti-Ki67 (green) at days 0, 4, and 7 of GCV treatment across three concentrations (a) 1 µM, (b) 20 µM, and (c) 50 µM (scale bar: 50 μm). Decreasing Ki67 expression over time indicates reduced cell proliferation, suggesting that the majority of surviving FSβiPLCs become non-proliferative after 7 days of GCV treatment. (d) The quantitative flow cytometry shows a significant decrease (p<0.05) in Ki67 expression by FSβiPLCs after 7 days of GCV treatment for different GCV concentrations. (e) Withdrawal of GCV (1 μM) at day 7 did not result in cell population increase over 8 days.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.665
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.6660.001

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 head0.023
GPT teacher head0.258
Teacher spread0.234 · 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