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Record W4232606957 · doi:10.1007/978-1-61779-117-8

Cystic Fibrosis

2011· book· en· W4232606957 on OpenAlexfundno aff
Margarida D. Amaral, Karl Kunzelmann

Bibliographic record

VenueMethods in molecular biology · 2011
Typebook
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
FundersUniversity of North Carolina at Chapel HillHospital for Sick ChildrenUniversité de MontréalCentre National de la Recherche ScientifiqueUniversity of TorontoSemmelweis EgyetemInstitut National de la Santé et de la Recherche MédicaleUniversity of BristolUniversity of ManchesterNewcastle UniversityVertex PharmaceuticalsJohns Hopkins UniversityUniversity of PittsburghMcGill UniversityCentre Hospitalier Universitaire de NiceUniversity of MissouriInternational Centre for Genetic Engineering and BiotechnologyImperial College LondonDartmouth CollegeEuropean Molecular Biology LaboratoryCystic Fibrosis Foundation Therapeutics
KeywordsCystic fibrosisGRASPMedicineIntensive care medicineFibrosisPathologyEngineeringInternal medicine

Abstract

fetched live from OpenAlex

Despite the many milestones in cystic fibrosis (CF) research, progress towards curing the disease has been slow, and it is increasingly difficult to grasp and use the already wide and still growing ra

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)0.000
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.117
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1170.117

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 head0.038
GPT teacher head0.431
Teacher spread0.393 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueMethods in molecular biology→Same topicCystic Fibrosis Research Advances→French-language works237,207→