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Record W4206837034 · doi:10.3410/f.717988287.793472653

Faculty Opinions recommendation of Imaging and characterization of stretch-induced ATP release from alveolar A549 cells.

2013· dataset· en· W4206837034 on OpenAlexfundno aff
James F. Donohue, Eduardo R. Lazarowski

Bibliographic record

VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2013
Typedataset
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceCanadian Institutes of Health ResearchCouncil for Science and Technology Policy
KeywordsPannexinBafilomycinPurinergic receptorParacrine signallingCell biologyAutocrine signallingCarbenoxoloneExtracellularChemistryBiophysicsA549 cellIntracellularCellGap junctionBiochemistryBiologyConnexin

Abstract

fetched live from OpenAlex

Translation of mechanical forces into biological effects often involves ATP release and activation of the purinergic signalling cascade. In the lungs, stretch is an important physical stimulus but its impact on ATP release and intercellular signalling is poorly understood. Here, we report that in the A549 alveolar cell model, a single stretch of more than 10% induces ATP release sufficient to stimulate purinergic receptors on neighbouring cells up to 150 m away from the source cell. Stretch-induced ATP release is significantly enhanced during healing in scratch-wound areas.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.340
Teacher spread0.305 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2013
Admission routes1
Has abstractyes

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