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Record W4283010235 · doi:10.1183/13993003.02398-2021

Normative multiple-breath washout data in school-aged children corrected for sensor error

2022· letter· en· W4283010235 on OpenAlexaff
Anne‐Christianne Kentgens, Philipp Latzin, Pinelopi Anagnostopoulou, Renée Jensen, Mirjam Stahl, Alana Harper, Sophie Yammine, Rachel E. Foong, Graham L. Hall, Florian Singer, Sanja Stanojevic, Marcus Mall, Félix Ratjen, Kathryn Ramsey

Bibliographic record

VenueEuropean Respiratory Journal · 2022
Typeletter
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsSickKids FoundationUniversity of Toronto
FundersNational Health and Medical Research CouncilMedical Research CouncilNovartis PharmaBundesministerium für Bildung, Wissenschaft, Forschung und TechnologieEinstein Stiftung BerlinGenentechBundesbehörden der Schweizerischen EidgenossenschaftBundesministerium für Bildung und ForschungNational Science FoundationVertex PharmaceuticalsSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsWashoutNormativeNitrogen washoutObservational errorStatisticsPsychologyMedicineMathematicsInternal medicine

Abstract

fetched live from OpenAlex

This study provides updated reference values for nitrogen multiple-breath washout outcomes in healthy, white, school-aged children in a commercially available device corrected for a known sensor error.https://bit.ly/3mzBoyR

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)0.002
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.003

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 head0.068
GPT teacher head0.339
Teacher spread0.270 · 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
GenreOther

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

Citations44
Published2022
Admission routes1
Has abstractyes

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Same venueEuropean Respiratory JournalSame topicCystic Fibrosis Research AdvancesFrench-language works237,207