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Record W2188279192 · doi:10.22514/sv61.052011.1

The endocannabinoid system in sepsis – a potential target to improve microcirculation?

2011· article· en· W2188279192 on OpenAlexaff
Christine Lehmann, Mandana Kianian, Juan Zhou, Vladimír Černý

Bibliographic record

VenueSigna Vitae · 2011
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicineEndocannabinoid systemMicrocirculationSepsisCardiologyIntensive care medicineInternal medicineReceptor

Abstract

fetched live from OpenAlex

During the last decade, research has identified the endocannabinoid system (ECS) as a key regulator of essential physiolo-gical functions, including the regulation of microvascular and immune function. Indeed, increasing evidence now suggests that release of endocannabinoids and activation of cannabinoid receptors occurs during sepsis and that manipulation of the ECS may represent an important therapeutic target to improve microcirculation in sepsis. In this review, the pharmacology and physiology of the ECS and the involvement of cannabinoids, cannabinoid receptors and non-CB1R/CB2R pathways related to ECS activation will be described. This information will increase our comprehension of the role of lipid signaling pathways in sepsis and may lead to the identification of new drug targets for the treatment of impaired microcirculation.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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