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Record W2043516418 · doi:10.1186/1471-2210-9-s1-s22

Yin and Yang of cGMP signalling in hydrostatic lung edema

2009· article· ms· W2043516418 on OpenAlexaff
Jun Yin, Stephanie M. Kaestle, Michael Mertens, Wolfgang M. Kuebler

Bibliographic record

VenueBMC Pharmacology · 2009
Typearticle
Languagems
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersDeutsche ForschungsgemeinschaftPfizer
KeywordsOncotic pressurePulmonary edemaEdemaMedicineHydrostatic pressureMechanosensitive channelsLungHeart failureCardiologyInternal medicineAnesthesiaIon channel

Abstract

fetched live from OpenAlex

Background Hydrostatic lung edema is a characteristic complication of acute left-sided ventricular or valvular heart failure that if untreated has a high mortality due to the resulting respiratory failure. Traditionally, formation of hydrostatic lung edema has been attributed to an imbalance of Starling forces, i.e. transcapillary hydrostatic and oncotic pressure in the pulmonary circulation resulting in interstitial and finally, alveolar edema. Yet, mechanosensitive cell responses may play a critical regulatory role in this scenario.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.297
Teacher spread0.281 · 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.

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
Published2009
Admission routes1
Has abstractyes

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