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Record W2069178431 · doi:10.1186/2197-425x-2-s1-p11

0100. Apelin is cardioprotective and life-saving over dobutamine in a murine model of endotoxin-induced myocardial dysfunction

2014· article· en· W2069178431 on OpenAlexaff
Olivier Lesur, Frédéric Chagnon, Alexandre Murza, Philippe Sarret, Éric Marsault, Dany Salvail

Bibliographic record

VenueIntensive Care Medicine Experimental · 2014
Typearticle
Languageen
FieldMedicine
TopicApelin-related biomedical research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsApelinMedicineDobutamineInotropeSeptic shockSepsisContext (archaeology)PreloadCardioprotectionCardiologyInternal medicineIntensive care medicineHemodynamicsMyocardial infarctionReceptor

Abstract

fetched live from OpenAlex

Dobutamine (DOB) is the actual recommended b-adrenergic inotropic drug to support sepsis-induced myocardial dysfunction when cardiac output index is still low after preload correction. In this context, DOB cardiovascular response predicts outcome in septic shock. Alternative supportive and safer therapies are however mandatory because:

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)0.000
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.029
GPT teacher head0.325
Teacher spread0.296 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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