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Record W2554519038 · doi:10.1183/13993003.01090-2016

European Respiratory Society guidelines for the diagnosis of primary ciliary dyskinesia

2016· article· en· W2554519038 on OpenAlexaff
Jane S. Lucas, Angelo Barbato, Samuel A. Collins, Myrofora Goutaki, Laura Behan, Daan Caudri, Sharon Dell, Ernst Eber, Estelle Escudier, Robert A. Hirst, Claire Hogg, Mark Jorissen, Philipp Latzin, Marie Legendre, Margaret W. Leigh, Fabio Midulla, Kim G. Nielsen, Heymut Omran, Jean‐François Papon, Petr Pohunek, Beatrice Redfern, David Rigau, Bernhard Rindlisbacher, Francesca Santamaria, Amelia Shoemark, Deborah Snijders, Thomy Tonia, Andrea Titieni, Woolf T. Walker, Claudius Werner, Andrew Bush, Claudia E. Kuehni

Bibliographic record

VenueEuropean Respiratory Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Center for Advancing Translational SciencesNational Institutes of HealthImperial College LondonNational Institute for Health and Care ResearchNational Heart, Lung, and Blood InstituteAAIR CharityRoyal Brompton and Harefield NHS Foundation TrustUniversity Hospital Southampton NHS Foundation TrustEuropean CommissionEuropean Respiratory Society
KeywordsPrimary ciliary dyskinesiaMedicineDyskinesiaRespiratory systemIntensive care medicinePediatricsPathologyInternal medicineBronchiectasisLung

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.019
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0070.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0040.003
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0110.008

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 head0.124
GPT teacher head0.363
Teacher spread0.239 · 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 designNot applicable
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

Citations703
Published2016
Admission routes1
Has abstractyes

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