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Record W4385481667 · doi:10.1016/j.chest.2023.07.068

Integration and Application of Radiologic Patterns From Clinical Practice Guidelines on Idiopathic Pulmonary Fibrosis and Fibrotic Hypersensitivity Pneumonitis

2023· article· en· W4385481667 on OpenAlexafffund
Daniel-Costin Marinescu, Cameron Hague, Néstor L. Müller, Darra Murphy, Andrew Churg, A. Al-Arnawoot, Ana-Maria Bilawich, Patrick Bourgouin, Gerard Cox, C. Durand, T. Elliot, Jennifer Ellis, Jolene H. Fisher, D. Fladeland, Amanda Grant-Orser, G.C. Goobie, Z. Guenther, Ehsan Haider, Nathan Hambly, James Huynh, Kerri A. Johannson, Geoffrey Karjala, Nasreen Khalil, Martin Kolb, Jonathon Leipsic, S.D. Lok, S. Macisaac, Micheal McInnis, H. Manganas, Veronica Marcoux, John R. Mayo, Julie Morisset, Ciaran Scallan, T. Sedlic, Shane Shapera, Kelly Sun, V. Tan, Alyson W. Wong, Boyang Zheng, Christopher J. Ryerson

Bibliographic record

VenueCHEST Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversity of TorontoUniversity of SaskatchewanUniversité de MontréalMcMaster UniversitySt. Paul's HospitalUniversity of CalgaryCentre Hospitalier de l’Université de MontréalUniversity of British Columbia
FundersCanadian Pulmonary Fibrosis FoundationBoehringer Ingelheim
KeywordsHypersensitivity pneumonitisMedicineIdiopathic pulmonary fibrosisFibrosisPulmonary fibrosisPathologyClinical PracticeLungInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.031
metaresearch head score (Gemma)0.171
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.171
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.007
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.048
GPT teacher head0.358
Teacher spread0.310 · 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
GenreMethods

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

Citations33
Published2023
Admission routes2
Has abstractno

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