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Record W1479742656

Abstract 18807: Spatial Distribution of the Metabolically Active Pulmonary Circulation in Humans

2014· article· en· W1479742656 on OpenAlexaff
Xavier Levac, François Harel, Vincent Finnerty, Quang T. Nguyen, Myriam Létourneau, Sophie Marcil, Alain Fournier, Jocelyn Dupuis

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsArmand Frappier MuseumInstitut National de la Recherche ScientifiqueMontreal Heart Institute
Fundersnot available
KeywordsMedicinePerfusionSupine positionLungPerfusion scanningCardiologyEndotheliumNuclear medicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Human pulmonary perfusion is not homogeneously distributed. Analysis of pulmonary perfusion spatial distribution (SD) variations, could be useful in the evaluation of pulmonary disorders. We developed a new tracer called PulmoBind (PB), which binds to the adrenomedullin receptor abundantly expressed in the lung endothelium. Nowadays, all imagery methods rely on physical agents distributed within the pulmonary circulation and whose external signals are reflections of perfusion. There is no clinically validated imaging agent that relies on biologic functions of the endothelium properties and could quantitatively assess the spatial distribution of metabolic active pulmonary circulation (SDMAPC). The aim of this study was to determine the ability of the endothelial cell tracer PB to measure the SDMAPC in human. Methods: Healthy subjects (n=20) were included in the PB phase I trial (NCT01539889). SPECT imaging was performed in the supine position 90 min after injection. SD was determined as mean ...

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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