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Record W7073584491

Nonidentical twins with asthma: Spatially matched CT airway and MRI ventilation abnormalities

2019· article· en· W7073584491 on OpenAlexfundno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2019
Typearticle
Languageen
FieldMedicine
TopicGestational Trophoblastic Disease Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchNovartis
KeywordsVentilation (architecture)AirwayAsthmaPulmonary function testingMechanical ventilationAirway obstructionRespiratory disease
DOInot available

Abstract

fetched live from OpenAlex

Recent pulmonary functional MRI findings of spatially and temporally persistent ventilation abnormalities in patients with asthma contrast with previous in silico modeling studies that suggest that in asthma, ventilation defects may be randomly distributed. In a case study that used pulmonary MRI, CT imaging, and pulmonary function tests, we prospectively evaluated over the course of 7 years, nonidentical female adult twins, each with a lifelong history of asthma. We evaluated pulmonary function and MRI ventilation heterogeneity at baseline and follow-up after 7 years. In both twins, there was a spatially identical MRI ventilation defect and an abnormal subsegmental left-sided upper lobe airway that persisted in the same spatial location after 7 years. If ventilation defects are randomly distributed, this bears a probability of approximately one per 130,000 people. Our MRI observations in related patients with asthma suggest that ventilation abnormalities may not be randomly distributed in patients with asthma and persist distal to airway abnormalities for long periods of time.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.286
Teacher spread0.250 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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