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Record W4300948628 · doi:10.17615/aj16-5x95

A novel lung disease phenotype adjusted for mortality attrition for cystic fibrosis Genetic modifier studies

2020· article· en· W4300948628 on OpenAlexfundno aff
Julian Zielenski, Clayton W. Commander, Andrew J. Sandford, Garry R. Cutting, Peter R. Durie, Rhonda G. Pace, Scott M. Blackman, Lisa J. Strug, Chelsea Taylor, Michael R. Knowles, Ruslan Dorfman, Aaron D. Webel, Kathleen Naughton, Mary Corey, Peter D. Paré, Mitchell L. Drumm, Weili Li, Fred A. Wright, Joseph M. Collaco, Yves Berthiaume, Jaclyn R. Stonebraker

Bibliographic record

VenueUNC Libraries · 2020
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
FundersPenn State Health Children's HospitalFeinberg School of MedicineCollege of Medicine, Drexel UniversityUniversity of North Carolina at Chapel HillSchool of Medicine, Emory UniversityClaude Pepper Older Americans Independence Center, Wake Forest School of MedicineHospital for Sick ChildrenUniversity of AlbertaOntario Genomics InstituteConnecticut Children's Medical CenterOntario GenomicsNational Heart, Lung, and Blood InstituteSaint Louis UniversityUniversity of South FloridaPennsylvania State UniversityDartmouth CollegeIWK Health CentreDrexel UniversityCollege of Engineering, Michigan State UniversityJohns Hopkins UniversityGenome CanadaUniversity of Nebraska Medical CenterKaiser PermanenteState University of New YorkCase Western Reserve UniversityUniversity of MinnesotaYale UniversityBunning Food Allergy Institute, Ann and Robert H. Lurie Children's Hospital of ChicagoChildren's Hospital of PhiladelphiaWake Forest UniversityUniversity of PennsylvaniaUniversity of MissouriNorthwestern UniversityUniversity of RochesterOntario Research FoundationFlight Attendant Medical Research InstituteMichigan State UniversityEmory UniversityCincinnati Children's Hospital Medical CenterUniversity of PittsburghSyracuse UniversityChildren's Hospital of MichiganUniversity of Southern CaliforniaUniversity of CincinnatiUniversity of California, San FranciscoNationwide Children's Hospital
KeywordsCystic fibrosisAttritionLung diseasePhenotypeDiseaseMedicineLungPathologyInternal medicineBioinformaticsBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Genetic studies of lung disease in Cystic Fibrosis are hampered by the lack of a severity measure that accounts for chronic disease progression and mortality attrition. Further, combining analyses across studies requires common phenotypes that are robust to study design and patient ascertainment.

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)0.043
metaresearch head score (Gemma)0.115
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 score0.043
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.115
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0040.006
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0040.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.126
GPT teacher head0.355
Teacher spread0.229 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueUNC LibrariesSame topicCystic Fibrosis Research AdvancesFrench-language works237,207